Applications Developer - IV - Now Hiring

FP&A transformation
Design, build forecasting, reporting
working with Jupiter notebooks
dealing with millions of records
expert Python skills
AI good to have
Cloud experience
really good communication skills
prefer Des Moines, ok with Boston
4 days onsite
Investments good to have
Trying to automate management reporting calculations

Complete and attach to resume subs:

Current Location and ability to meet location requirements
Work Authorization status
Availability to Start / upcoming vacations
Interview Method Used (video or in-person only) prefer over telephone interview
Technical Vetting Summary (if applicable who conducted it, what was assessed)
Relevant Experience Overview (brief explanation of why the candidate is a strong fit)
Resume Gaps or Job-Hopping Explanation
Note any employment gaps and provide explanation if available)
Call out any short stints, indicating whether the roles were contract or full time
Motivation & Interest / Why the candidate is looking for a new opportunity
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