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Join G-Research in London as an Infrastructure Security Engineer, shaping the platforms and tools that support high-impact quantitative research. You’ll combine security, infrastructure and scripting skills to automate, deploy, and configure security systems critical to defending the organisation. Reporting to the Infrastructure Security Manager, you’ll act as a hands-on SME, mentoring junior engineers and contributing to the security product roadmap. Key responsibilities include owning projects across Privilege Access, DLP, Email Security, Web Gateway, VPN, ZTNA, Firewall and SIEM, deploying and maintaining security infrastructure, and building integrations with infrastructure-as-code solutions.

Software Engineer in Franklin Templeton's FTT AI & Digital Transformation group, delivering innovative digital wealthtech solutions. Primarily responsible for front-end development of web applications using React and Next.js, with TypeScript and AI-assisted tooling. Collaborates with product owners to translate business requirements into responsive, accessible UI and integrates back-end APIs. Focuses on performance optimization, UI/UX quality, and staying current with emerging front-end trends in an agile environment.

Leads engineering teams within Global Wealth Engineering to deliver wealth-management technology solutions. Responsible for technical strategy, architecture and delivery, collaborating with product, risk, and compliance to ensure secure, scalable platforms. Oversees programs, budgets, and stakeholder communications to ensure timely, high-quality outcomes in a regulated financial environment. This is a senior leadership role requiring extensive financial technology experience.

Full Stack Software Engineer Associate responsible for technical analysis, design, development, implementation and support of mission-critical applications. The role covers current and future projects within the group, introducing new technologies to meet business objectives and providing technical consultation and guidance on medium to high complexity development projects. Works in an agile environment with a focus on high availability, security and performance, and may provide post-implementation support and training. Located in Bogotá, Colombia at ScotiaTech, ScotiaBank's technology hub.

Responsible for the implementation, evolution and optimization of monitoring systems. Analyzes data from incidents, changes, events and problems to adjust monitoring and ensure timely detection of relevant events, enabling root-cause analysis and informed decision-making. Leads the monitoring function, including building and maintaining tools and services, developing standards and procedures, and driving continuous improvement to strengthen visibility, alerting and incident response. Builds and guides a high-performing L1 SRE team, creates training programs, and fosters collaboration across monitoring, SRE, development and business units.

The Banamex UX Researcher Sr role is a senior UX research position focused on designing, executing, and analyzing qualitative and quantitative research to uncover user needs, motivations, and pain points. You will translate findings into actionable insights to guide product and design decisions, and collaborate with cross-functional teams to improve user experiences. Responsibilities include shaping research strategy, moderating studies, synthesizing data, and presenting insights to stakeholders to influence the product roadmap. The role is based in Ciudad de Mexico with on-site responsibilities, requiring 3-7 years of UX research experience.

The Head of Validation for AI Non-Model will lead a high-performing team to execute Citi's Machine Learning Risk Review (MRM) framework for AI non-model risk. This role requires deep AI/ML expertise, including GenAI, strong leadership, and the ability to drive innovation in a fast-paced environment. The position reports to the Global Head of Model Risk Management and involves strategy, technology leadership, stakeholder management, and risk governance across multiple lines of defense.

Snowflake Engineer role with Morgan Stanley's FRPPE Tech team in Finance Technology, focusing on the Infrastructure Data Ingestion area. The Associate position will manage and optimize the technical environment and end-user experience across workplace technologies, ensuring smooth operations. Responsibilities include establishing Snowflake governance, automating maintenance and migrations between Snowflake and Teradata, and monitoring performance metrics. The role requires strong Python and database skills with experience in cloud databases and data engineering operations.

Associate in the Legal and Compliance Division's Non-Financial Risk Visualization & Reporting Solution (NFR VRS) team in Mumbai, focusing on delivering data sets, reporting products, and analytical insights to LCD. You will participate in data and analytics projects, collaborate with stakeholders to translate requirements into effective reports, and design interactive dashboards using Tableau and Power BI to help measure, manage, and mitigate non-financial risk. The role requires a Bachelor's degree and at least 2 years of data-related experience in visualization, reporting, or data analysis, with proficiency in large data sets, data processing languages (Alteryx, R, Python), and experience in automating reporting and analytics; experience in the financial services industry is a plus.

Join Morgan Stanley as an Associate in the NFR Data & Analytics team within the LCD CoE, focusing on semantic capabilities and AI/ML techniques to support risk identification and management. You will develop and enhance core semantic functionalities (semantic search, classification, auto-categorization, similarity detection, semantic enrichment) and translate business requirements into modeling needs involving ontologies and graph models. You will pair with product owners and technology teams to deploy graph-compatible solutions (e.g., Metaphactory), maintain clear technical documentation, and ensure governance and compliance throughout the solution lifecycle. A strong background in data science, NLP, ontologies, and Python is expected, with at least two years of experience in financial services or similarly regulated environments.