Junior Quant: MBS Research & AI-Driven Signals

Man Group; Boston (MA); On-site; USD 110,000 - 130,000; Full time

Job summary

Man Group seeks a junior quantitative researcher with a background in agency mortgage-backed securities to join the Systematic Securitized Credit team in the United States. You will sit with portfolio managers and senior researchers, splitting time between analytics that inform live trading and your own research into new sources of return.

You will own research, contribute to model development and back-testing, and apply AI tools to improve efficiency and impact across the workflow.

Qualifications

• At least a year working with agency MBS: on a buy‑side desk, at a dealer, or an analytics vendor.
• Understanding of Agency MBS concepts: TBA, rolls, payup‑ups, collateral attributes, prepayment behavior and drivers.
• Strong applied statistics and programming ability: the judgement to tell a real result from noise, and the discipline to write code others can read, test and build on.
• The ability to discuss and present complex ideas in an intuitive, easy to follow way.
• Plus: understanding of CMO structures (IO/PO/Floater), GSE program types, Prepayment model calibration or validation, various spreads & durations, systematic back-testing and portfolio construction.

Responsibilities

• Researching, scoping, and onboarding new securitized markets and sectors.
• Improving our systematic trading platform for securitized products, following markets & research.
• Doing novel research on trading signals, prepayment modeling, pricing, and hedging.
• Utilizing AI tools across all above responsibilities to make research & trading more efficient & impactful.

Skills

Agency MBS

Statistics

Programming

Communication

Presentation

Tools

Python

R

Job description

Man Group seeks a junior quantitative researcher with a background in agency mortgage-backed securities to join the Systematic Securitized Credit team in the United States. You will sit with portfolio managers and senior researchers, splitting time between analytics that inform live trading and your own research into new sources of return.

You will own research, contribute to model development and back-testing, and apply AI tools to improve efficiency and impact across the workflow.