20 jobs found

JOB DESCRIPTION We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK - but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a fraud data scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat structure organization. Your responsibilities are to deliver end to end cutting edge solutions in the form of cloud native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. Job spec requirements The Fraud Strategy and analytics functions leads the 1st line of defense business for fraud risk, including ownership of the fraud strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimised to reduce fraud & financial crime risk whilst ensuring a 1st class client experience - you will be supporting the product from an analytics perspective. Job responsibilities Responsible for development and implementation of fraud strategies/rules to effectively detect fraudulent activities Conduct analytics to support fraud product, fraud operations and financial crime to protect the financial interest of the customers and the bank Conduct analytics to support fraud operation team to improve efficiency and decision accuracy, including translation of fraud strategy into fraud operation impact Work with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective Ensure all compliance, audit & control frameworks are followed - using data to support the confirmation that these processes are adhered to regulation standards Share best practice across JP Morgan Chase & Co. Possess superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners Required qualifications, capabilities and skills Master's degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc. Knowledge of fraud processes and products Team development and management experience required We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation.

Compensation: GBP 115,000 - GBP 150,000 - yearly Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Our vision is: Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our fraud detection capabilities and ensuring the security of our platform. Here's how you'll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into Fraud prevention product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimise and Evaluate: Conduct large-scale training and hyper-parameter tuning, and define performance metrics to ensure high-quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features. Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visitWise.Jobs .

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.

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in Anti Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. Learn more about LexisNexis Risk at About the Team You will be part of a team that uses global data from the largest real time fraud detection platform to craft solutions for our enterprise customers. About the Role Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real world impact in the form of lower customer friction, reduced fraud losses, and increased customer profitability. You'll leverage a real time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e Commerce, and On Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. On top of driving innovation projects, you'll be continually collaborating with internal product and engineering teams, customer facing account teams, and external business leaders and risk managers. The comprehensive models you build will go head to head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Scope, develop, and implement machine learning or rule based models following best practice and banking model governance standards. Use strong knowledge of SQL and Python, plus quantitative skills, to define features that capture evolving fraudster behaviours. Develop internal tools to streamline the model training pipeline and analytics workflows. Apply curiosity and problem solving skills to transform uncertainty into value add opportunities. Craft a story through data, delivering industry leading presentations for external and executive audiences. Build an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present fraud, money laundering, and mule fraud. Employ multi tasking and prioritisation skills to excel in a fast paced environment with frequently changing priorities. Requirements Experience in a data science role, ideally within fraud, risk, or payments domain. Proficiency in Python and SQL; BI tools such as SuperSet, Tableau, or PowerBI a bonus. Hands on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems. Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail. Extensive multi tasking and prioritisation skills; ability to excel in a fast paced environment with frequently changing priorities. Working for You Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits. Well being programs. Life Assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. Access to emergency care for both the elderly and children. RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Access to employee discounts scheme via Perks at Work. Equal Opportunity Employer We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Accommodations and Safety We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams. Please read our Candidate Privacy Policy.

Job Description Purpose of the Role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implement analytics and models in accurate, stable, well tested software and work with technology to operationalise them. Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Director Expectations Manage a business function, providing significant input to function wide strategic initiatives; contribute to and influence policy and procedures for the function, plan, manage, and consult on multiple complex and critical strategic projects. Lead organisation wide projects as a deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally; train, guide, and coach less experienced specialists; provide information influencing long term profits, organisational risks, and strategic decisions. Provide expert advice to senior functional management and committees to influence decisions made outside of own function. Manage, coordinate, and enable resourcing, budgeting, and policy creation for a significant sub function; foster and guide compliance and ensure regulations are observed. Monitor and influence external environments, regulators, or advocacy groups on behalf of Barclays when appropriate. Demonstrate extensive knowledge of how the function integrates with the business division/Group to achieve overall business objectives; maintain broad knowledge of industry theories, practices, relevant sectoral knowledge, and external market developments. Use interpretative thinking and advanced analytical skills to solve problems and design solutions in complex or sensitive situations. Exercise management authority to make significant decisions and certain strategic recommendations within own area; negotiate with and influence stakeholders at a senior level, both internally and externally. Act as a principal contact point for key clients and counterparts in other functions or business divisions; serve as a spokesperson for the function and business division. Day to Day Responsibilities Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high quality, scalable model delivery across fraud and transaction monitoring use cases. Drive end to end model lifecycle ownership-from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions. Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement. Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment. Candidate Requirements Extensive experience building and deploying machine learning models in production, with strong hands on Python capability. Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder management skills, able to operate in complex, regulated environments; experience in Financial Crime or related risk domains is advantageous. The Four LEAD Behaviours L - Listen and be authentic E - Energise and inspire A - Align across the enterprise D - Develop others Barclays Values Respect, Integrity, Service, Excellence, and Stewardship. Barclays Mindset Empower, Challenge, and Drive.

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

Job Description The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting edge machine learning, real time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Vision Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. Responsibilities Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph based models, Transformer based models. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross functional teams to integrate data science solutions into fraud prevention product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimise and Evaluate: Conduct large scale training and hyper parameter tuning, and define performance metrics to ensure high quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non technical stakeholders effectively. Document the development and maintenance processes for models and features.

Job Description The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting edge machine learning, real time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Our vision Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. We are looking for someone who will help maintain our existing machine learning algorithms, while helping to make them better and develop new intelligence to stop fraudsters. How you'll be contributing We are seeking a highly motivated Lead Data Scientist to join our Fraud Risk Team. In this role, you will level up the intelligence and maintain and refine existing models, develop new features, and create new intelligence to reduce the impact on good customers. You will work closely with the Fraud Risk Team to support the effective management and mitigation of risks associated with our receiving processes. Further you will help grow our data science team in space. Key Responsibilities Model Maintenance and Improvement Maintain and optimise existing risk models to ensure their accuracy and reliability. Continuously monitor model performance and implement improvements based on feedback and testing. Innovate and Develop Lead the development and deployment of machine learning models, features and help deploy intelligence to production. Data Analysis & Intelligence Creation Conduct thorough data analysis to identify trends, patterns, and anomalies that can aid in risk mitigation. Develop actionable intelligence and insights to inform the Fraud Risk Team's strategies. Collaboration & Communication Work closely with the Fraud Risk Team to understand business processes and risk factors. Communicate complex data findings and insights effectively to non-technical stakeholders. Risk Reduction Initiatives Identify opportunities to reduce the impact of risks on good customers through data-driven strategies and interventions. Develop and test strategies to balance risk mitigation with customer satisfaction. Documentation & Reporting Document the development and maintenance processes for models and features. Prepare and present detailed reports and dashboards that reflect risk assessment outcomes and model performance. Qualifications A bit about you Proven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring. Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services. Experience with statistical analysis and good presentation skills to drive insight into action. A strong product mindset with the ability to work independently in a cross functional and cross team environment. Good communication skills and ability to get the point across to non technical individuals. Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. Some extra skills that are great (but not essential) Experience on working with non supervised algorithms Prior experience in the fraud domain and a strong understanding of fraud detection techniques.

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.

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

At BAE Systems Digital Intelligence we develop world-class radio and data systems. We are launching a major new space programme, marrying our existing capabilities with new space technology. We need skilled, enthusiastic and motivated people at all experience levels from graduate to CTO to deliver these exciting new capabilities. There are opportunities in all relevant engineering and non-engineering disciplines, both for those with space industry experience and those without. Many roles come with opportunities for remote / hybrid working, working in our offices in Guildford and Great Baddow only when required. We will provide you with personal development, CPD including support towards professional recognition, industry-leading benefits, and the opportunity to apply cutting-edge technology to interesting problems with the support of our highly-skilled engineering community. Come and join us for this exciting opportunity to shape and deliver world-class space technologies. What you will be doing (role duties and responsibilities) You will lead the development of cutting-edge radio and communication technologies for our new space-based systems. Making use of your extensive experience in communications, waveforms and/or SDR, you will design this critical part of our new system, selecting the right techniques and principles to deliver highly-performant systems that delight our customers. You will lead teams of highly-skilled scientists and engineers, designing radio systems for both space and ground environments on our world-class SDR platforms. We design and deliver high-performance radio and data processing systems, generating the most interesting and complex electronics design challenges. Whether its the most sensitive radio receivers, designing for very low SWaP environments or designing highly complex DSP algorithms, we pride ourselves on our ability to deliver. Recognised as the expert and point of contact for radio and communications systems, you will maintain deep understanding of relevant technologies, producing innovative solutions to complex engineering problems. You will be responsible for developing and implementing the technology strategy within your area of expertise, providing technical support to business development activities and providing expert review within your area of expertise across the enterprise. What we are looking for (skills and experience) We are looking for ambitious, high-calibre people with the following characteristics: Essential: Highly motivated with a strong academic background typically in Engineering, Physics or Mathematics Solid grounding in engineering with typically >10 years' experience in an engineering or technology based environment, working on complex, multi-disciplinary projects Comprehensive understanding of radio communication systems and concepts Proven track record of successfully delivering high quality radio solutions Experience in digital signal processing techniques and the ability to design processing architecture relating to communications and signal processing systems Experience in the use of software and FPGA development tools and environments Working knowledge of one or more programming languages, preferably C, Unix programming and fluent in MATLAB Comfortable working on multiple projects at the same time and in a dynamic environment where deadlines and priorities are changeable. Desirable: Have a good knowledge of communications protocols e.g. ECSS and CCSDS standards relating to space data links and navigation A keen interest in the space sector and awareness of latest industry developments Experience of developing for space applications Experience of working within multi-disciplinary development teams in a project-based environment Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance wellbeing. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. About BAE Systems Digital Intelligence We use our intelligence-led insights to help defend Governments, Nations and Societies from cyber-attacks and financial crime. Our customers depend on our evolving capabilities to help them safely grow their organisations. Our unprecedented access to threat intelligence, world-leading analysts and market-leading technology means we can help them to adapt, evolve and stay ahead of the criminals. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

Company Overview BAE Systems Digital Intelligence helps nations, governments and businesses around the world defend themselves against cybercrime, reduce their risk in the connected world, comply with regulation, and transform their operations. We do this using our unique set of solutions, systems, experience and processes - often collecting and analysing huge volumes of data. These, combined with our Cyber Special forces - some of the most skilled people in the world - enable us to defend against cyber-attacks, fraud and financial crime, enable intelligence-led policing and solve complex data problems. We are obsessed about solving problems for our customers; we bring together great minds that face tough challenges on a daily basis, and are encouraged to make a difference. Role Summary: Applied Intelligence Laboratories (AI Labs) is the research and technology arm of BAE Systems Digital Intelligence business. In partnership with the other businesses and educational establishments with whom we work, we innovate and develop to transform aspiration and vision into engineered reality. We provide research & development, consultancy, specialist manufacturing and technical services for Applied Intelligence and other BAE Systems businesses. Additionally, our expertise helps the UK MoD, US Department of Defense, universities and our UK industrial partners, and other leading innovation organisations to achieve their goals. We are looking to recruit an enthusiastic, hard-working and professional engineer into the Antennas and Electromagnetics group at AI Labs based in Great Baddow, near Chelmsford, Essex. The Antenna and Electromagnetics group undertakes research and development across the EW spectrum from near and far-field ranges for antenna characterisation from a few hundred MHz to millimetre wave frequencies. Our research includes the in the following areas; Novel antenna concepts Installed antenna performance Low Observable (LO) antenna design, Design of microwave devices, Radar range equation based calculations for radar and communication system performance prediction. Evaluation of Electromagnetic Compatibility and Hazard (EMC/EMH) problems. Prediction and measurement of the Radar Cross Section of civil and military vehicles and structures is undertaken, particularly in relation to LO antenna design. The candidate does not need to have experience in all of these areas, but a good general understanding of the principles involved in undertaking work of this nature would be of benefit. The Engineer role will involve leading the delivery of innovative research projects to quality, time and budget while working with teams of scientific and engineering staff. Candidates will be expected to provide both technical input into programmes and support bidding activities and be willing to take an active role in finding and securing future work. For motivated candidates there will be future opportunities for project and people management. The successful candidate would be expected to: Work with a team of multi-disciplined scientists and / or engineers to execute projects for customers. A large proportion of the projects undertaken will results in practical demonstrations at TRL 2 to 5 and operational system up to TRL 9 Have the skills to lead a team of scientists and / or engineers to execute projects for customers Develop new business opportunities and timely generation of high quality, well planned and innovative bids with an acceptable level of risk Provide inputs into technical strategy in line with the wider AI Labs strategy Identification and delivery of internally funded (PV) work that builds capability for exploitation in line with the AI Labs strategy Develop & maintain key business relationships with internal and external customers, suppliers and external institutions to support new business and awareness of the state-of-the-art Promote the technical excellence of AI Labs through generation of patents and external publicity in scientific journals and / or the press Ensure that all projects are undertaken in line with AI Labs process & governance. Assist with the development of new business opportunities and participate in the timely generation of high quality, well planned and innovative bids with an acceptable level of risk Engage with customers and AI Labs management on a daily basis Develop & maintain key business relationships with internal and external customers, suppliers and external institutions to support new business and awareness of the state-of-the-art Promote the technical excellence of AI Labs through generation of patents and external publicity in scientific journals and / or the press Ensure that all projects are undertaken in line with AI Labs process & governance Qualifications / Skills: A 2:1 degree in a relevant discipline (e.g. Physics; Mathematics; Computer Science; Electronic/Electrical Engineering; or a related discipline) A background in physics, electrical engineering or a related discipline is highly desirable, whist prior experience in electromagnetic prediction, although beneficial, is not essential. Familiarity with general microwave test equipment such as Vector Network Analysers would be an advantage. Some knowledge or an interest in technical computing, a programming language, scientific computing packages or CAD manipulation would be of benefit. Good communication, presentation and report writing skills are essential A higher degree in a relevant area would be advantageous Solid grounding in engineering with typically >10 years' experience in an engineering or technology based environment, working on complex, multi-disciplinary projects Member of a relevant professional body, preferably at Chartered Engineer or equivalent level, would be advantageous. Ability to assess and understand the impact of emerging technologies and how these can be applied Highly motivated with the ability to quickly digest and apply new concepts and develop novel solutions to challenging problems Able to understand, influence and talk with credibility (in terms of engineering principles) about areas of technology outside of own area of specific expertise Good communication skills, able to present effectively to customers and at conferences if appropriate Ability to work with customers or other stakeholders to capture requirements and highlight the risks and opportunities in a plan Able to work cooperatively and collaboratively with others, to lead or be part of a team and respect the opinions of others Continually build and maintain friendly, reciprocal, and warm relationships with networks of people who may be able to assist in business winning and delivery Familiarity with general purpose IT systems Must be able to obtain full SC security clearance About BAE Systems Digital Intelligence: We help nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We do this using our unique set of solutions, systems, experience and processes. Our success is down to our people. The changing nature of our business means that we're constantly looking for the brightest talent to help us fulfil our ambitions. As an experienced professional, we'll entrust you with responsibility; this means that you'll have client contact, variety and support from day one. We'll encourage and support you to develop your skills and reward you as you grow. Whatever your area of expertise, you'll be much more than just a job title; you'll be an integral part of the business where your individual contribution makes a difference every day. Great minds deserve great rewards, so we also offer a very competitive salary and benefits package. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. Staying competitive in today's global marketplace requires an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. We also welcome discussions about flexible working. About BAE Systems Digital Intelligence We use our intelligence-led insights to help defend Governments, Nations and Societies from cyber-attacks and financial crime. Our customers depend on our evolving capabilities to help them safely grow their organisations. Our unprecedented access to threat intelligence, world-leading analysts and market-leading technology means we can help them to adapt, evolve and stay ahead of the criminals. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours...... click apply for full job details