The Core Engineering 

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firms compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firms liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineerings 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: 

• Metrics & Analytics Platforms: responsible for the measurement and management of the firms risk, capital, and liquidity for The Core functions

• The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics

• Financials & Reporting: responsible for facilitating the production of the firms financials and a wide range of reporting functions

• Non-Financial Risk & Controls: responsible for non-financial risk and control processes

• Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement

• Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 

Responsibilities

• Manage end-to-end systems development in an Agile environment, from requirements analysis through coding, testing, UAT, implementation and maintenance.
• Produce technical designs, testing strategies and implementation plans.
• Partner with Finance stakeholders to understand business needs and translate them into process workflows, data requirements and specifications.
• Build reusable solutions and identify opportunities for cross-divisional collaboration.
• Contribute to data modelling and curation.

Basic Qualifications

• Bachelors degree or relevant experience in Computer Science, Mathematics, Electrical Engineering or related discipline.
• 6+ years of software development experience.
• Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design.
• Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders.

Expert Knowledge in One Or More Of

• Hands-on programming experience in Java or Python
• Significant solutions architecture and system design experience
• Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin
• Experienced with Cloud Technologies ideally AWS e.g. S3, SQS, Lambda, Fargate
• Strong RDBMS knowledge
• Experience developing distributed, micro services-based applications.
• Experience with data modelling and curation for large-scale datasets

Preferred Qualifications

• Knowledge or interest in investment banking or financial instruments
• Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue)
• Experience with near real time and event-based systems like Kafka