Job Description
Senior Python Developer – FP&A Forecasting & Reporting
Location: Des Moines, Iowa or Boston, MA offices
Duration: 1+ years
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