CareerPlan
New York, New YorkFull-time$130k–$190k2026-07-29 → 2026-11-11
Based in United States

Core

Build, enhance, and support pricing models for fixed income securities using statistical modeling, financial engineering, and AI-driven tooling.

Role type

Lead Data Scientist (Quantitative Research)

Builds

Proprietary algorithms for fixed income pricing and transparency

Domain

Financial Services / Fixed Income Markets

Deliverable

production ML models

Required skills

Statistical modeling, Financial engineering, Python, C++, SQL, R, Shell Scripting, Fixed income instruments knowledge, Large-scale data analysis

Preferred skills

AI & ML techniques for multi-dimensional problems, PhD in quantitative field

Technologies

Python, C++, SQL, R, Shell Scripting

Responsibilities

Learn, research, implement, and maintain pricing models across fixed income asset classes; Procure, analyze, and validate data sources with product and engineering teams; Investigate ad hoc issues and debug pricing applications

Seniority

Senior, hands-on IC