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MomentMomentNew York, NY

Research

Develops quantitative models for portfolio optimization, fixed income relative value, risk estimation, and AI agents for credit research and portfolio management at a fintech platform. Requires Python coding, quant background, and bachelor's/PhD in math-related field.

200k – 325k/yr
On-siteML Engineering

About the role

Responsibilities

  • Run 100K+ variable portfolio optimizations in seconds.
  • Develop machine learning models to estimate relative value and future outperformance in fixed income securities.
  • Develop risk models to estimate the tracking error between portfolios.
  • Build AI agents to automatically perform credit research, automatically build custom portfolios, and automate other core portfolio management tasks.

Requirements

  • Quant researcher or quant trader background (strong candidates from outside quant trading also considered).
  • Bachelor’s degree or PhD in Mathematics, Physics, Statistics, Economics, or Computer Science.
  • Production-grade code in Python.
  • Willing and able to figure stuff out independently.
  • Excited to work closely with customers (researcher also acts as own product manager).

Nice-to-Haves

  • Fixed income quantitative research.
  • Numerical optimization.
  • Factor/risk models.
  • Polars.
  • Machine learning pipelines.
  • Multi-modal LLMs.

Compensation

  • Base salary: $200K to $325K.
  • Aggressive initial equity grant.
  • Annual performance-based equity bonuses.
  • Health, dental, and vision coverage.
  • $150 monthly gym stipend.
  • Free lunch and dinner.

Skills

PythonMachine LearningNumerical OptimizationPolarsFactor ModelsRisk ModelsMulti-Modal Llms

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