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Python Developer (FP&A Forecasting & Reporting)
Python Developer (FP&A Forecasting & Reporting)MethodHub • Boston, MA, United States
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Python Developer (FP&A Forecasting & Reporting)

Python Developer (FP&A Forecasting & Reporting)

MethodHub • Boston, MA, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.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
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