Sr. Python Developer

Senior Developer FP&A Forecasting & Reporting

POSITION OVERVIEW

The Senior Developer role partners with the FP&A team and IT data team to design, build, and optimize the FP&A Forecasting and Reporting processes. This position will be accountable for developing and maintaining high-performance components, ensuring the processes scale effectively with complex calculations and large data volumes.

You will be a key member of the FP&A Transformation, helping to build a calculation and forecast modeling platform to support a growing, high pace firm.

You will act as a technical leader, bringing deep engineering expertise while working closely with FP&A, Investment, Actuarial and data specialists to ensure the processes deliver robust, efficient, and production-grade solutions.

KEY RESPONSIBILITIES

Platform Development & Optimization

• Lead the design, development, and optimization of core code base using Python and Python-based compute environments (e.g., Jupyter, VS Code, Databricks).
• Collaborate with FP&A and data teams to integrate FP&A forecasting models, analytics, and data pipelines.
• Ensure computational performance, scalability, and reliability across FP&A workloads.
• Drive technical innovation, including use of compute grids, data vectors, and AI-based methods where relevant.

Collaboration & Support

• Partner with FP&A and external consultants to deliver performant model execution and tooling.
• Provide technical guidance on backlog items and requirements for IT Data and supporting teams.
• Serve as a senior escalation point for critical incidents, providing Tier-3 expertise when needed.

Governance & Best Practices

• Establish and champion engineering standards, testing practices, and performance monitoring.
• Contribute to platform documentation, run books, and knowledge-sharing initiatives.
• Mentor junior developers and data engineers, raising engineering maturity across the team.
• Ensure ongoing maintenance, upgrades, and optimizations are delivered with minimal disruption.

EDUCATION

• An undergraduate or advanced degree in Computer Science, Engineering, or related field (or equivalent combination of education and experience).

SKILLS

• Expert Python skills with proven experience in building high-performance, data-intensive systems.
• Strong understanding of Life & Annuity data, financial models, or large-scale computational engines.
• Deep knowledge of data management and integration in hybrid cloud ecosystems (AWS / Snowflake).
• Hands-on experience with compute parallelization and performance optimization techniques.
• Excellent interpersonal and communication skills; ability to interface effectively with FP&A and program leadership stakeholders.
• Strong leadership qualities: mentoring, influencing, and guiding technical direction across teams.

EXPERIENCE

• 10+ years in professional software engineering, with significant hands-on Python development.
• Demonstrated success building or maintaining financial modeling or large-scale computational systems.
• Experience working with investment banks and/or within life and annuity insurance domains is highly desirable.
• Proven track record in data-driven platforms, large-scale computation, or advanced analytics.

• Experience with DevOps practices and ability to explain them to business users.

• Desirable:
• Cloud ecosystem expertise (AWS, Azure, Redshift)
• Familiarity with AI/ML integration in computational systems
• Experience in data visualization and reporting