Responsibilities:
Design and implement a modern data and forecasting platform that powers critical Firm functions, leveraging Python pipelines, robust schemas, and secure APIs to deliver governed, high quality inputs for model execution.
Collaborate closely with senior Finance leaders, platform engineers, and data owners to transform business requirements into innovative technical solutions and deliver value through incremental, high impact releases.
Apply AI driven techniques and agentic approaches to accelerate development, automate repetitive tasks, and enhance the intelligence of forecasting workflows.
Contribute to components that orchestrate model runs, manage dependencies, and standardize inputs/outputs across forecasting workflows.
Ship well structured Python code and unit/integration tests; ensure performance, reliability, and numerical consistency of model results.
Investigate data and execution issues end to end (pipelines, mappings, orchestration) and implement durable fixes and safeguards.
Use version control, code reviews, automated testing, and CI/CD to maintain quality and traceability across the platform.
Provide thoughtful, constructive feedback; uphold standards for readability, performance, and data governance.
Produce technical specs, API contracts, and runbooks that make services easy to understand, operate, and audit.
Identify opportunities to reduce cycle time (e.g., caching, schema normalization, reusable libraries) and strengthen controls for regulated processes.
Engage in training and upskilling (Python, data engineering, platform tooling, Agentic AI) and share learnings with the team.
Required Technical Skills:
Strong Python skills for building data pipelines, orchestration services, and automation; experience with libraries such as Pandas or NumPy is a plus.
Foundational data science knowledge ability to work with structured data, apply basic statistical concepts, and understand data quality principles.
Ability to engage with the broader team, communicate goals, tasks, and deliverables effectively in 1 1 and team settings.
Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Understanding of the software development lifecycle and agile methodologies.
Strong knowledge of databases, data structures, and query languages (SQL preferred).
Willingness to learn new technologies and tools, including AI driven development approaches.
Knowledge of Java is a plus (experience with Java or other object oriented languages will be considered an asset).
Typically 2+ years of relevant experience to demonstrate the skills required for this role.
Prior exposure to the finance or investment banking domain.
Additional Skills (Good to Have):
Excellent problem-solving and analytical skills.
Strong communication skills and ability to work collaboratively in a global team environment.
Dynamic, flexible, and eager to learn new technologies; solution-oriented and adaptable to changing priorities.
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