Lead Financial Engineer

We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex financial models into precise mathematical specifications and algorithms for our investment management proposal system.

You will sit within the Investment Product Team, working daily inside an Agile development framework to build tools for portfolio optimization, risk assessment, and client wealth forecasting.

Responsibilities:

• Collaborate with business stakeholders to define, refine, and document quantitative algorithms for the investment proposal platform.
• Convert high-level financial models and concepts into rigorous mathematical formulas and technical specifications for software developers.
• Own the mathematical integrity of core system features, including portfolio optimization, Monte Carlo simulations, financial health scoring, and probability-based goal assessment models.
• Serve as the quantitative Subject Matter Expert (SME) within Scrum teams, participating in story writing, sprint planning, refinement, and code/math reviews.
• Design and execute prototype models in Python or R to validate algorithmic accuracy before full-scale software production.
• Assist the Product Owner in prioritizing the quantitative roadmap based on business value and technical feasibility.

Requirements:

• 7+ years of professional experience in quantitative finance, financial engineering, or asset management role.
• Master’s degree or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a highly quantitative field.
• Deep understanding of modern portfolio theory (MPT), multi-period asset allocation, stochastic processes, and statistical simulation techniques.
• Proficiency in Python, R, or MATLAB for prototyping and data analysis. Familiarity with SQL and version control (Git).
• Proven experience working alongside software engineers and translating financial math into clear, implementable developer specifications.
• Experience working within an Agile/Scrum development lifecycle.
• Exceptional ability to communicate highly complex mathematical concepts to both non-technical business partners and software engineers.

Nice to have:

• Experience building software components specifically for wealth management, robo-advisory, or retail investment proposal platforms.
• Basic understanding of object-oriented programming (e.g., C#, Java, or C++) to help audit production code implementations.

Benefits:

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• Opportunities to do challenging work.
• Opportunities to take on progressively greater accountabilities.