Controllers - Software Engineer - Associate / Vice President - Birmingham
What we do Controllers EngineeringControllers Engineering is responsible for designing and implementing solutions that support financial measurement and reporting, including revenue, balance sheet, liquidity and capital. We also help meet the firm’s global regulatory financial reporting obligations and build tools that drive efficiency and consistency across controller functions.Controllers Engineering - ReportingThe Reporting team is building a common reporting platform to simplify how the firm handles financial regulatory reporting. We are creating a unified, scalable cloud-based platform using common data models and reusable validation and exception workflows to replace fragmented legacy processes. Engineers on the team leverage cutting edge AI tooling to accelerate development of automated workflows to ensure reporting is consistent and accurate across global regulators.ResponsibilitiesManage 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 QualificationsBachelor’s 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 OfHands-on programming experience in Java or PythonSignificant solutions architecture and system design experienceExperience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, DevinExperienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, FargateStrong RDBMS knowledgeExperience developing distributed, micro services-based applications.Experience with data modelling and curation for large-scale datasetsPreferred QualificationsKnowledge or interest in investment banking or financial instrumentsExperience 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