Morgan Stanley

Morgan Stanley seeks an Engineering Tech Lead to join the Cloud and Platform Security team. You will translate complex security challenges into scalable data solutions, set technical direction, and lead engineers while collaborating with security, product, and platform stakeholders to ensure secure, reliable systems built for scale. You will design end-to-end data pipelines on AWS, GCP and Azure, own key architectural decisions, drive data quality and governance, and mentor the team through

We are looking for an Engineering Tech Lead to join our Cloud and Platform Security team. In this role, you will translate complex, ambiguous business and security challenges into scalable, well architected data solutions. You will set technical direction, manage engineers, and partner closely with security, product, and platform stakeholders to ensure our data systems are secure, reliable, and built for scale. What you'll do in the role: Technical Leadership Define and drive the technical strategy and roadmap for security engineering within the Cloud and Platform Security domain Architect end to end data pipelines and platforms that support security telemetry, compliance reporting, and risk analytics Establish engineering standards, best practices, and patterns for data ingestion, transformation, storage, and access control Own key technical decisions and trade offs, and communicate them clearly to both engineering and non technical stakeholders Problem Synthesis & Solution Design Partner with security, engineering, product, and compliance teams to deeply understand complex business and security problems Break down ambiguous, multi faceted challenges and translate them into actionable, well scoped technical solutions Drive discovery and requirements processes - asking the right questions to surface the real problem before jumping to solutions Execution & Delivery Lead and actively contribute to the design, development, and delivery of scalable data infrastructure on cloud platforms (AWS, GCP, and/or Azure) Build platforms that handle high volume security event data (logs, alerts, audit trails, telemetry) with reliability and low latency Ensure data quality, observability, and governance are first class concerns across all systems People & Collaboration Mentor and grow a team of engineers - through code reviews, design discussions, and ongoing technical coaching Foster a culture of engineering excellence, accountability, and continuous improvement Act as a trusted technical advisor to cross functional partners, representing the team in architectural reviews and strategic planning discussions What you'll bring to the role: Experience in software engineering, with at least 2 years in a tech lead or people manager role Proven ability to take complex, ambiguous business problems and synthesize them into clear, elegant at scale technical solutions Demonstrated experience building data products that deliver actionable insights or guidance to end users - not just pipelines for pipelines' sake Deep experience building and operating large scale platforms in cloud environments (AWS, GCP, or Azure) At least 7 years' relevant experience would generally be expected to find the skills required for this role Preferred: Experience building developer facing security tooling or platforms that guide application teams toward better security outcomes Familiarity with vulnerability management data (CVEs, CVSS, EPSS) and how to apply it in prioritization models Experience in a security domain such as Cloud Security, Platform Security, AppSec Hands on experience with cloud native services Hands on experience with data engineering at scale Background working in regulated industries or with compliance driven data requirements At Morgan Stanley, we are an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, please visit:

Morgan Stanley is looking for a Senior Developer in Fixed Income Derivatives Technology to enhance trading systems and infrastructure. This role involves collaborating with sales, trading, and quantitative strategists to deliver solutions that manage risks and report financial metrics efficiently. Ideal candidates should possess strong software engineering skills, experience in distributed/computing cloud environments, and a Bachelor's degree in a computational field. Candidates with a background in financial markets will be preferred. Morgan Stanley champions diversity and inclusion.

We are seeking a Senior Developer within the Fixed Income Derivatives Technology group to work closely with Interest Rates Sales & Trading and Quantitative Strategists on next-generation risk and trading systems. What you'll do in the role: Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions. Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL and market scenarios to senior management, trading desks, controllers, and market risk department. Greenfield project to redesign pricing and workflow applications for sales and traders to keep ahead of the market. Greenfield project to redesign Front to Back risk scenario infrastructure for Fundamental Review of the Trading Book. Greenfield project to revamp the market data and marking system in strategic cross-asset platform. Design APIs so that the pricing and risk analytics can be accessed programmatically by other internal systems and processes. Provide IT coverage for Macro business in EMEA, with day-to-day interaction with sales/trading, desk strategies, FID COOs, operations, controllers, and market risk department. What you'll bring to the role: Strong software engineering, analytical and problem-solving skills. Experience in distributed computing or cloud computing, Java/Scala development experience and performance tuning. Understand DevOps and Continuous Development Principles. Strong interest in learning about the financial markets. Strong academic record with Bachelor's level or above in a computational field like Computer Science, Mathematics, Electrical Engineering, or a related discipline or equivalent experience. At least 6 years' relevant experience expected to find the skills required for this role. Preferred full-stack development; programming experience in HTML5/AngularJS, C++ and APL (Array-Programming Language) like KDB/Q or A+. Preferred knowledge of fixed income market, financial models, and risk management. Preferred experience in financial risk calculation and management system or trading tools development. Preferred experience with JVM. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Morgan-Stanley is searching for a Model Risk Management Software & Infrastructure Lead in London. This position entails developing tools and processes to enhance model validation efficiency. The ideal candidate will have a strong background in software development, particularly in Python, and experience in the Banking/Finance industry. The role demands collaboration with various stakeholders and offers opportunities to contribute to innovative solutions that drive efficiencies within the firm.

Model Risk Management, Software & Infrastructure Lead, Vice PresidentLondonJR030733The role will reside within the Firm Risk Management's Model Risk Management (MRM) Department which is a team responsible for the Firm's management of risks related to the implementation and use of models and tools, covering all aspects of the Firm's businesses and implementing key regulatory requirements. This position is with the Efficiency Evolution Team, which is responsible for coordinating various Fleet activities related to infrastructure and adoption of AI solutions to generate efficiencies.Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.About Morgan StanleyMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.What will you be doing?Prototype, evaluate, and iterate on new tools, workflows, and process improvements to optimize the end-to-end model validation lifecycle, with a focus on efficiency, reproducibility, and control readiness.Design, develop, automatically test, and maintain production quality Python applications that support validation execution, evidence capture, reporting, and independent testing activities.Build and distribute well documented internal Python packages (e.g., reusable libraries, CLI tools, and developer tooling), including versioning, release notes, and backward compatibility practices to support department wide adoption.Partner closely with stakeholders (e.g., model reviewers/validators and related risk partners) to gather requirements, translate pain points into scalable solutions, and deliver tools that improve day-to-day effectiveness and turnaround times.Establish and maintain automated quality controls (e.g., unit and integration tests, CI checks, static analysis) to improve reliability and reduce operational risk across the codebase.Contribute to and uphold engineering standards for the team, including coding conventions, documentation expectations, testing strategies, and packaging/release patterns, to improve consistency and maintainability across tools.What we're looking for:Bachelor's or higher degree in Computer Science or a related field.5+ years of software development experience.Extensive experience with Python, Git, and Linux.Extensive experience with data management, analytics, and visualization.Proven track record of developing Python packages with appropriate documentation and test suites.Proven track record of developing robust Continuous Integration and Continuous Development pipelines.Strong background in Machine Learning and Statistics, ideally in the Banking/Finance industry.Experience with RDBMS and other types of database management systems.The ability to effectively communicate with a wide range of stakeholders, both written and verbally.Strong attention to detail and ability to provide information in usable formats (proficiency in Microsoft office, including Excel, PowerPoint and Word).Skills that will help you in the role:Ability to work independently in a self-directed way in a collaborative environment.An interest in working in a fast-paced environment, often balancing multiple high priority deliverables.Where will you be working?This role is based at 20 Bank Street, London.WHAT YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste into your browser.Certified Persons Regulatory Requirements:If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statementInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .

We're seeking someone to join our Endpoint Security team as a Infrastructure Security Engineer in Cyber to design, engineer and operate solutions that protect Desktops, Laptops, Servers and Cloud resources from malicious internal and external threats by providing additional preventative, detective and hardening controls and by enabling real-time endpoint detection and response capabilities. Further expanding our controls to Cloud platforms (Azure/AWS) has presented an opportunity to join a growing team implementing key security controls for the firm.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Cybersecurity Engineer position at Director level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.What you'll do in the role:You will be part of a Global cross-disciplined Agile Team working towards DevOps practices within the firms Endpoint Security TeamYou will have strong Windows Infrastructure/Security knowledge and experience working in enterprise on-prem and cloud environmentsYou will have strong analytical and problem-solving abilities, coupled with excellent development, communication, and organizational skills.You will be responsible for continuously improving the quality of our technology solutions, through a range of methods including peer review, retrospectives and refactoring as required.What you'll bring to the role:Senior hands-on infrastructure or enterprise IT experience supporting endpoint or platform technologies at scaleStrong knowledge of Windows endpoint internals, administration, and automation, ideally in enterprise environments with 50,000+ endpointsExperience designing and engineering infrastructure or security solutions from proof of concept through production deploymentAbility to troubleshoot complex Windows environments, including deployment, compatibility, and performance issuesStrong scripting and automation skills, particularly in PowerShell; Python or Ansible experience is also valuableInterest in cybersecurity technologies, with the ability to apply infrastructure knowledge in a security-focused environmentAbility to participate in a global follow-the-sun on-call rotation, with weekday coverage shared across the team during business hours and weekend on-call required occasionally.Typically 5+ years of relevant experience in infrastructure engineering, endpoint management, or related enterprise technology rolesOther Desired SkillsExperience with Windows Defender Advanced Threat Protection/Defender for Endpoint and the latest Microsoft E5 security product setExperience with Disk Encryption and Hardening Operating SystemsExperience with Defender for Cloud AppsExperience with Splunk, SCCM/IntuneExperience working in a DevOps/SRE aligned teamEffective troubleshooting skills across hardware, OS, network, and storageExperience of platform design, build and deployment, with a focus on continual service improvementExperience of working in an Agile environmentExperience of Unix and MacOS sysadmin a benefit YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste into your browser.Certified Persons Regulatory Requirements:If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statementInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .

We're seeking a Java / Full Stack Developer in the Investment Banking & Global Capital Markets Technology team to build innovation solutions supporting the complex and evolving needs of our businesses within the Institutional Securities Group. Responsibilities Contribute to the function through a range of operational activities and project tasks, developing an understanding of the business and operating environment. Participate in the design, development, and testing of software applications. Collaborate with team members to understand requirements and deliver on software projects. Assist in troubleshooting and debugging software issues. Learn and apply best practices in software development methodologies. Contribute to code reviews and provide constructive feedback. Document technical specifications and system configurations. Contribute to continuous improvement initiatives within the software engineering team. Engage in training and upskilling activities to enhance technical skills. Qualifications Ability to engage with the broader team, communicate goals, tasks and deliverables in 1 1 and team meetings. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Strong hands on Java EE and core Java experience. Experience with web service development, RESTful APIs, and Service Oriented Architecture. Skills in Object Oriented Design, design patterns, architecture and application integration. Strong knowledge of databases including design and SQL proficiency. Strong experience with frameworks used for development and automated testing such as SpringBoot, JUnit, BDD, etc. Experience with Unix/Linux. Understanding of software development lifecycle and agile methodologies. Ability to work well in a team environment and collaborate effectively. Strong problem solving skills and attention to detail. Willingness to learn new technologies and tools. At least 5 years' relevant experience is generally expected for this role. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Morgan Stanley is seeking a Java / Full Stack Developer for their Investment Banking & Global Capital Markets Technology team in Greater London. This role involves building innovative solutions and supporting the Institutional Securities Group's evolving needs. The ideal candidate must have strong hands-on Java experience, a Bachelor's degree in Computer Science or related field, and at least 5 years relevant experience. Responsibilities include software development, collaborative problem-solving, and documenting technical specifications.

Morgan-Stanley is looking for an Infrastructure Security Engineer to join the Endpoint Security team in Glasgow. This role involves designing and operating security solutions for desktops, laptops, servers, and cloud resources. You will need strong Windows Infrastructure and security knowledge, along with analytical and problem-solving skills. The position requires 5+ years of infrastructure experience and involves working in a global Agile team environment.

Morgan Stanley seeks a Distributed-Database Platform Engineer to manage and scale Snowflake, Postgres, and Greenplum databases for over 10,000 users. This role focuses on modernizing infrastructures across AWS and Azure. Key responsibilities include architecting large-scale systems, developing automation frameworks, and mentoring junior engineers. Ideal candidates will possess expertise in PostgreSQL and Snowflake, along with strong scripting and automation skills.

We are seeking a highly skilled and motivated Distributed-Database Platform Engineer to lead the management and scaling of Snowflake, Postgres, and Greenplum database platforms globally for over 10,000 end-users. The role focuses on modernizing, automating, and optimizing performance across a hybrid cloud infrastructure spanning AWS and Azure. Key Responsibilities Design, implement, and manage large scale distributed database systems using Snowflake and Postgres Lead architecture and deployment of database clusters across hybrid cloud environments Develop and maintain automation frameworks for provisioning, monitoring, and scaling database infrastructure Collaborate with data engineering, platform, and application teams to ensure high availability, security, and performance Drive adoption of best practices for schema design, query optimization, and data lifecycle management Implement robust backup, disaster recovery, and compliance strategies Mentor junior engineers and contribute to cross training initiatives across database technologies Architect, deploy, and manage large scale distributed database systems (Platform Engineering & Operations) Ensure high availability, disaster recovery, and performance tuning across multi region deployments Lead design and implementation of multi cloud database strategies Build and maintain infrastructure as code and automation pipelines for provisioning, scaling, and monitoring database clusters (Automation & Scalability) Develop self healing and auto scaling mechanisms to support dynamic workloads Drive modernization initiatives including cloud native database adoption, serverless architecture, and AI/ML integration (Innovation & Modernization) Evaluate and implement emerging technologies to improve platform efficiency and developer experience Prior exposure to building ML and generative AI solutions using Snowflake Cortex Analyst, Search, AI SQL, Snowflake ML, and Snowpark Container Services (Design & Architecture of AI/ML Solutions) Conduct workshops and discovery sessions with client stakeholders, and expose internal teams to AI/ML model training and deployment Key Qualifications Prior expertise and experience in PostgreSQL and Snowflake administration and performance tuning Proven experience managing large scale distributed systems; experience with 100K+ clusters preferred Strong scripting and automation skills (Python, Terraform, Ansible, etc.) Experience with CI/CD pipelines and infrastructure as code practices Familiarity with cloud native architectures and services in AWS and Azure Excellent problem solving, communication, and collaboration skills Knowledge of Snowflake Design Patterns and migration workflows advantageous Operational experience understanding large scale IaaS platforms (Azure/AWS) advantageous Experience deploying georedundant databases using third party cluster managers such as Patroni or GoldenGate Capability to manage Snowflake environment, including virtual warehouse sizing, query performance tuning, cost management, and cortex AI services Staying current with Snowflake SaaS offerings, third party integrations, and cloud data warehousing trends Implement and manage data security, access controls, and encryption policies to ensure data integrity and compliance Knowledge of data governance, security, and compliance frameworks Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, please visit:

Morgan Stanley is looking for a Lead Infrastructure Engineer at the Vice President level in Greater London. The successful candidate will design and maintain resilient infrastructure automation systems, collaborating with various technical teams to optimize IT operations. A strong understanding of Python, Unix systems, and infrastructure automation is required. Candidates should also demonstrate technical leadership and mentorship skills. Morgan Stanley is committed to diversity and inclusion in their hiring practices.

We're seeking a Lead Infrastructure Engineer covering designing, building and maintaining robust, resilient and scalable infrastructure automation systems in the Technology division. This is a Lead Infrastructure Engineering position at Vice President level, responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively. What you'll do in the role: Design, implement and support new infrastructure solutions to enable our algorithmic trading business to operate in an efficient, effective and compliant manner. Collaborate closely with business-facing development groups, system administrators and enterprise infrastructure engineers to implement and maintain appropriate solutions to reduce costs and manage technology risk for our business. Act as a subject matter expert for our Linux based electronic trading infrastructure platform. Mentor, coach and lead less experienced engineers. Provide technical leadership and vision for a small business aligned team of engineers and SREs. Drive the continuous improvement of our infrastructure and working practices through regular reviews, blameless post mortems and other SRE techniques. What you'll bring to the role: Advanced knowledge of the Python programming language and standard software engineering concepts such as common data structures, regular expressions, object oriented programming, and advanced algorithms. Strong understanding of core Unix components - networking stack, daemon configuration, OS customisation. Experience with architecting large scale, robust, resilient and scalable systems. Domain expertise in infrastructure automation and integration. The ability to describe algorithmic and architectural trade offs in an algebraic or quantitative fashion. Comfortable developing in a Linux and CLI based environment. Knowledge of standard Linux command line debugging tools such as tcpdump and strace. Familiarity with modern development tools and practices including agentic workflows, git, jenkins, test driven development, and continuous integration. Can take full lifecycle ownership of components within a project, from initial architecture design to ongoing support. A proven track record of technical leadership, able to work independently on both technical problems as well as customer interactions. The successful candidate will also be expected to provide technical mentorship and leadership to less experienced engineers. Familiarity with the Go programming language would also be useful. MorganStanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

We're seeking someone to join our Investment Banking & Global Capital Markets Technology team as a Vice President in the Advisory Sales & Distribution Super Department to build innovation solutions to support the complex and evolving needs of our businesses in Institutional Securities Group. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at VP Level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision making and business insights, as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI based techniques. Since 1935, Morgan Stanley has been known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Build out a data platform using the Snowflake DBaaS platform to enable the business to gain insights across multiple datasets around Client Coverage. Drive the data warehousing architecture & transformation from raw data to a published layer for use by development teams and business users. Integrate internal Client/Deals/CRM/Revenue/AUM/Expenses data and external market data from S&P, LSEG, Equilar, Pitchbook and other vendors to enrich and power next best actions around our clients and contacts. Collaborate with business product owners, software development engineers, and data engineering professionals. Communicate progress, challenges, and milestones to senior leadership. Collaborate with stakeholders to prioritize projects and allocate resources effectively. Provide strategic direction for data engineering initiatives and roadmap. Develop and oversee the data engineering budget and resource planning. Ensure compliance with data security, privacy, and regulatory requirements. Foster a collaborative and inclusive team environment to drive innovation and high performance. What you'll bring to the role: Proven track record of designing and implementing complex data solutions using the Snowflake DBaaS platform, including schema creation, data sharing, and row & column level security/masking. Strong SQL query and data modelling skills. Experience with designing and building data warehouses for business intelligence. Experience with data ingestion pipelines and Snowflake dynamic tables. Strong data & software development skills with Python, Git and SDLC lifecycle. Proven ability to oversee end to end data processes from ingestion to consumption. Strong background in data governance, metadata management, and data lineage. Demonstrated success in aligning data strategies with business objectives. Excellent leadership and decision making skills to drive business outcomes. Effective communication with stakeholders to define project requirements and priorities. Ability to use tools like Microsoft Power BI or Jupyter Notebooks to rapidly prototype new concepts. At least 8 years of relevant experience generally expected for this role. Also included within the employment relationship is compliance with all mandatory regulatory qualifications required for this Certified role. For more information on equal employment opportunity statements, please visit: Equal Opportunity Employer Statement Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

We're seeking someone to join our Insider Risk Management function as a Digital Forensics & Investigations Lead within Cyber, Data, Risk & Resilience (CDRR), with a focus on leading end-to-end investigations with a disciplined, risk-based approach to evidence handling, proportionality, confidentiality, and regulatory defensibility. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. What You'll Do in the Role Lead and conduct digital forensic investigations Collect, preserve, and analyse digital evidence from a variety of sources Apply investigative methodologies to correlate activity across multiple data sources Ensure investigations are conducted in line with Firm policies, legal requirements, and regulatory expectations Produce clear investigative outputs, including timelines, findings summaries, and remediation recommendations Manage electronic discovery (eDiscovery) activities, including identification, preservation, collection, processing, and production of electronically stored information (ESI) Design and execute data collection criteria across email archives, collaboration platforms, file shares, and enterprise systems Ensure compliance with data privacy, retention, and jurisdictional requirements What You'll Bring to the Role Experience conducting digital investigations, including insider risk, incident response, or data exfiltration cases Ability to act as a primary point of contact for investigation and eDiscovery matters, managing cases from intake through closure Strong stakeholder management skills, with the ability to define scope, assess risk, and align on timelines and deliverables Coordinate across multiple teams and regions Analytical mindset with the ability to synthesise information into clear findings and conclusions Strong SIEM analysis and data correlation skills, with experience working through complex datasets, analysing infrastructure and security logs Hands on experience with digital forensic tools Strong working knowledge of Microsoft 365 (M365) environments Ability to clearly articulate complex technical matters to diverse stakeholders Strong understanding of technology risk, security concepts, and enterprise infrastructure Solid experience in eDiscovery, including message archive systems and formulation of complex search and collection criteria Experience working with Regulatory, Compliance, Litigation, or Investigations teams within the financial services industry Scripting or automation skills for investigative efficiency Experience working across multiple regions Relevant security certifications (e.g. GCFE, GCFA, CISSP) are considered as an advantage Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:

Morgan Stanley in Glasgow is seeking a Digital Forensics & Investigations Lead to manage digital forensic investigations and ensure compliance with legal requirements. Responsibilities include leading investigations, collecting and analyzing evidence, and producing reports. The ideal candidate has extensive experience in digital investigations, eDiscovery, and a strong understanding of technology risk. Join a diverse team committed to inclusion and innovation.

Morgan Stanley is looking for a Senior Quantitative Software Engineer in Greater London. You will lead the development of innovative solutions while optimizing trading algorithms and managing operational risks. Applicants should have at least 8 years of relevant experience, strong programming capabilities in Java or Scala, and excellent communication skills. The role offers an opportunity to work in a collaborative environment emphasizing employee empowerment and diversity.

We're seeking someone to join our team as a Senior Quantitative Software Engineer to work as part of the FIDCOM super department, with a focus on serving as the senior technology face off to our commodities leadership. There are various trading critical technologies which the candidate will own, ranging from market making engines to our ability to hedge on the iterbank market with algos and order management.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Quantitative Software Engineer position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.What you'll do in the role:Drive the development of innovative solutions, frameworks and best practices within the team's area of expertiseAnalyze complex datasets and synthesize insights into clear, actionable recommendations for technical and business stakeholdersDesign, develop and enhance client-facing products while optimizing the performance, scalability and reliability of trading algorithmsIdentify and mitigate operational risks by designing robust controls, monitoring frameworks and governance processesAct as an L3 Subject Matter Expert, providing critical support during market stress events, production incidents and complex operational challengesWhat you'll bring to the role:At least 8 years' relevant experience would generally be expected to find the skills required for this roleExperience in delivering complex technology initiatives and contributing to strategic technology roadmapsAmple communication skills, with the ability to articulate complex technical concepts to both technology and business leadershipDeep expertise within the relevant domain, coupled with a strong understanding of industry trends and market dynamicsStrong programming skills in Java or Scala, with an interest in developing deep expertise in ScalaKnowledge of C++Proficiency in python or other scripting languages for automation and toolingExceptional analytical and problem solving skillsInterest in functional programming principlesCuriosity to leverage different technologies in solving financial modelling and quantitative challenges YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste into your browser.Certified Persons Regulatory Requirements:If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statementInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .

Morgan-Stanley is seeking a Liquidity Policy Vice President in London to join the Accounting and Regulatory Policy team. The role focuses on providing policy leadership on UK and EU liquidity regulatory requirements and involves advising on liquidity-related policy implications of business initiatives. Ideal candidates will possess strong knowledge of Basel standards and liquidity requirements, along with demonstrated ability to influence at senior levels. This position offers a dynamic work environment with opportunities for growth and development.