Senior Python Developer FP&A Forecasting & Reporting

Role: Senior Developer – FP&A Forecasting & Reporting

Location: Des Moines, Iowa or Boston, MA offices

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.

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

12+ 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