Head of Data Science - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Head of Data Science to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Head of Data Science will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Head of Data Science Role, please apply below with your CV.
02/06/2026
Full time
Head of Data Science - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Head of Data Science to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Head of Data Science will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Head of Data Science Role, please apply below with your CV.
Job Title Financial Crime Senior Data Analyst Division and Department Supervision, Policy & Competition - Financial Crime Market Interventions (RDS Team) Role Overview This role focuses on strategic data projects to support the FCA's financial crime supervision. You will access unique FCA datasets, perform data analysis, and deliver outputs that help prevent the UK financial sector from facilitating financial crime. Key Responsibilities Develop and maintain data and supervision capabilities to keep the FCA a leader in financial crime supervision. Analyse conduct data using various tools and deliver outputs that meet supervision needs. Collaborate with data analysts and data scientists across the FCA, including the Innovation division. Qualifications Minimum: Demonstrated experience as a data analyst or business analyst; experience in creating data visualisation dashboards (e.g., Tableau); proficiency in Excel and advanced SQL or equivalent data analytics tools. Essential: Effective communication skills to present analysis outcomes to non technical stakeholders; experience delivering projects to tight deadlines; ability to work with a wide range of stakeholders; demonstrated confidence in leading meetings with senior leaders; ability to prioritise conflicting priorities and deliver results with minimal supervision; collaborative mindset with imaginative, innovative problem solving. Benefits 25 days annual leave plus bank holidays. Hybrid model - minimum 40% office work each month (50% for senior leaders). Non contributory pension (8-12% depending on age) and life assurance at eight times salary. Private healthcare with Bupa, income protection, and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Flexible benefits scheme designed to fit lifestyle. Diversity and Inclusion We are committed to fostering a diverse and inclusive culture, free from discrimination and bias, celebrating difference and supporting colleagues to deliver at their best. We are a Disability Confident Employer and welcome candidates with disabilities or long term conditions who meet the minimum criteria for the role.
01/06/2026
Full time
Job Title Financial Crime Senior Data Analyst Division and Department Supervision, Policy & Competition - Financial Crime Market Interventions (RDS Team) Role Overview This role focuses on strategic data projects to support the FCA's financial crime supervision. You will access unique FCA datasets, perform data analysis, and deliver outputs that help prevent the UK financial sector from facilitating financial crime. Key Responsibilities Develop and maintain data and supervision capabilities to keep the FCA a leader in financial crime supervision. Analyse conduct data using various tools and deliver outputs that meet supervision needs. Collaborate with data analysts and data scientists across the FCA, including the Innovation division. Qualifications Minimum: Demonstrated experience as a data analyst or business analyst; experience in creating data visualisation dashboards (e.g., Tableau); proficiency in Excel and advanced SQL or equivalent data analytics tools. Essential: Effective communication skills to present analysis outcomes to non technical stakeholders; experience delivering projects to tight deadlines; ability to work with a wide range of stakeholders; demonstrated confidence in leading meetings with senior leaders; ability to prioritise conflicting priorities and deliver results with minimal supervision; collaborative mindset with imaginative, innovative problem solving. Benefits 25 days annual leave plus bank holidays. Hybrid model - minimum 40% office work each month (50% for senior leaders). Non contributory pension (8-12% depending on age) and life assurance at eight times salary. Private healthcare with Bupa, income protection, and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Flexible benefits scheme designed to fit lifestyle. Diversity and Inclusion We are committed to fostering a diverse and inclusive culture, free from discrimination and bias, celebrating difference and supporting colleagues to deliver at their best. We are a Disability Confident Employer and welcome candidates with disabilities or long term conditions who meet the minimum criteria for the role.
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
27/05/2026
Full time
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. We're looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi technology applications within an enterprise environment. We're open minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. Tech Stack Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next. Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Equal Opportunity Employer Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
22/05/2026
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. We're looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi technology applications within an enterprise environment. We're open minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. Tech Stack Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next. Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Equal Opportunity Employer Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. We're looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi technology applications within an enterprise environment. We're open minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. Tech Stack Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next. Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Equal Opportunity Employer Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
21/05/2026
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. We're looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi technology applications within an enterprise environment. We're open minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. Tech Stack Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next. Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Equal Opportunity Employer Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
About the Role As an engineer in our Collection Engineering team, you'll build the tools and platform that power Elliptic's intelligence operation, the engine behind a product used by law enforcement, regulators, and the world's largest financial institutions to fight crypto crime. Intelligence flows into Elliptic from everywhere. All of it needs to be ingested, classified, stored, and reviewed before it can reach our proprietary graph database, the system at the heart of our market leading products. Our team owns that pipeline end to end. Working alongside data scientists, analysts and researchers, you'll help design and build the services and tooling that scale the collection effort, remove bottlenecks, and free our intelligence team to focus on the work only humans can do. Your work will get stolen funds traced, ransomware actors identified, and sanctions enforcement enabled. Few engineering roles connect code and consequence so clearly. What you will do Design and build software tools to improve and enhance our intelligence collection and analysis efforts. Examples of such tools range from services deployed on kubernetes to browser extensions and beyond. Collaborate with a world class team of analysts and researchers to understand their processes and pain points, and automate them away. Develop software to analyse and interpret cryptocurrency usage behaviours and trends. Implement observability mechanisms to detect problems in your environment(s), and run the associated business processes to resolve. You will be a great fit here if you Have a passionate interest in cryptocurrencies and blockchains and their usage (both from a technical and economic perspective) in the real world. Have great coding skills in Typescript and the proven ability to engineer good solutions. Have increased operational efficiency by integrating disparate systems. Enjoy working as part of a close knit team on highly impactful problems, making the crypto ecosystem a safer space. Promote a positive culture of collaboration, through open and effective communication, particularly when addressing issues or raising concerns. Are able to form well reasoned, data driven or otherwise evidence based arguments, to influence key stakeholders across the business. Know when to build PoC vs production grade software. Are fluent in AI and agentic workflows. Required Skills and Experience 3+ years of commercial experience Proficient in Typescript, plus React, Nest.js Familiar with Postgres and K8s Experience with AWS, Terraform, Datadog Bonus points Has worked in an intelligence collection setting Experience with "big data" technologies, the management of data, and data pipelines How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation / Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave. Benefits Private Health Insurance: We use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
17/05/2026
Full time
About the Role As an engineer in our Collection Engineering team, you'll build the tools and platform that power Elliptic's intelligence operation, the engine behind a product used by law enforcement, regulators, and the world's largest financial institutions to fight crypto crime. Intelligence flows into Elliptic from everywhere. All of it needs to be ingested, classified, stored, and reviewed before it can reach our proprietary graph database, the system at the heart of our market leading products. Our team owns that pipeline end to end. Working alongside data scientists, analysts and researchers, you'll help design and build the services and tooling that scale the collection effort, remove bottlenecks, and free our intelligence team to focus on the work only humans can do. Your work will get stolen funds traced, ransomware actors identified, and sanctions enforcement enabled. Few engineering roles connect code and consequence so clearly. What you will do Design and build software tools to improve and enhance our intelligence collection and analysis efforts. Examples of such tools range from services deployed on kubernetes to browser extensions and beyond. Collaborate with a world class team of analysts and researchers to understand their processes and pain points, and automate them away. Develop software to analyse and interpret cryptocurrency usage behaviours and trends. Implement observability mechanisms to detect problems in your environment(s), and run the associated business processes to resolve. You will be a great fit here if you Have a passionate interest in cryptocurrencies and blockchains and their usage (both from a technical and economic perspective) in the real world. Have great coding skills in Typescript and the proven ability to engineer good solutions. Have increased operational efficiency by integrating disparate systems. Enjoy working as part of a close knit team on highly impactful problems, making the crypto ecosystem a safer space. Promote a positive culture of collaboration, through open and effective communication, particularly when addressing issues or raising concerns. Are able to form well reasoned, data driven or otherwise evidence based arguments, to influence key stakeholders across the business. Know when to build PoC vs production grade software. Are fluent in AI and agentic workflows. Required Skills and Experience 3+ years of commercial experience Proficient in Typescript, plus React, Nest.js Familiar with Postgres and K8s Experience with AWS, Terraform, Datadog Bonus points Has worked in an intelligence collection setting Experience with "big data" technologies, the management of data, and data pipelines How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation / Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave. Benefits Private Health Insurance: We use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Data Science Festival is seeking a Lead Data Scientist for financial crime projects in London. You will lead data-focused projects and work closely with stakeholders across banking and fintech. The role offers a competitive salary of £95,000 - £120,000 plus bonuses and benefits. Key responsibilities include analyzing datasets, supporting monitoring processes, and translating insights into recommendations. This role provides ongoing training in a collaborative team, with a path towards strategic advisory roles.
15/05/2026
Full time
Data Science Festival is seeking a Lead Data Scientist for financial crime projects in London. You will lead data-focused projects and work closely with stakeholders across banking and fintech. The role offers a competitive salary of £95,000 - £120,000 plus bonuses and benefits. Key responsibilities include analyzing datasets, supporting monitoring processes, and translating insights into recommendations. This role provides ongoing training in a collaborative team, with a path towards strategic advisory roles.
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
14/05/2026
Full time
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
12/05/2026
Full time
Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
