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Essential Skills and Experience
• 7+ years of experience in data or software engineering, with at least 2+ years in a leadership or management role
• Demonstrated success in leading teams to deliver business-critical projects on time and within scope
• Strong stakeholder management skills, with experience in communicating timelines, trade-offs, and decisions across technical and non-technical audiences
• Proven ability to prioritize competing demands, manage dependencies, and drive alignment across multiple teams
• Excellent people leadership skills, with a track record of mentoring, developing, and motivating engineers
• Experience improving delivery processes and fostering a culture of accountability and excellence
• Familiarity with Agile methodologies and iterative delivery practices
• Knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, different asset classes and fund accounting
Desirable Skills and Experience
• Experience managing data engineering teams across both traditional database systems and cloud-based platforms
• Background in delivering large-scale data migration or modernization initiatives within complex organizations
• Familiarity with data governance, security, and compliance considerations in financial services
• Track record of building and scaling high-performing, delivery-focused engineering teams
• Ability to champion innovation and adoption of new practices, tools, and delivery models
• Experience of front office investment risk and/or analytics systems
Job ID: 134552099
Skills:
S3, Route53, CDK, Lambda, Typescript, Javascript, Ec2, Application Security, AWS, Java, Graphql, Agile Methodologies, Node.js, Kms, Iam, Gitlab, Rest Apis, Elb, Swift, object-oriented design patterns, zero-trust architecture principles, AWS Serverless Architecture, DevOps principles, 12-factor application development principles
Skills:
Unsupervised Learning, Tensorflow, MLops, Pytorch, Docker, Kubernetes, Python, data preprocessing, GANs, Hugging Face Transformers, autoregressive models, efficient optimized code, reinforcement learning, prompt engineering, end-to-end AI model deployment pipelines, VAEs, diffusion models
Skills:
Hadoop, Pyspark, Spark, Data Governance, Sql, Python, ELT, Etl, Security, compliance frameworks
Skills:
Testing, Software Architecture, Design, structural architecture-fitness tests, developer-platform work, spec-driven development, type checkers, context engineering, AI coding agents, Static Analysis, containerized build test environments, Development, agent orchestration, linters, deterministic computational controls, instrumentation observability, fitness functions, CI pipelines