Quantitative Developer

LEADING FUNDS LLC
Union City, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Union City, United States of America

Tech stack

.NET
C Sharp (Programming Language)
Python
Machine Learning
Performance Tuning
Standard Sql
Information Technology
Software Version Control

Job description

My client is hiring a CMBS-focused C# developer onto a four-person Structured Finance dev team at a long-standing hedge fund with offices across the US East Coast and London. This is a hands-on, mid-to-senior IC seat sitting directly next to analysts, traders, and portfolio managers - building and maintaining the production systems that drive their CMBS book.

If you've spent years inside CMBS/structured products and you want to be on a small team where what you ship actually moves the desk, this is it.

What you'll do

  • Build and maintain production-grade C# / .NET systems for CMBS analytics and front-office workflows

  • Work directly with traders, analysts, and PMs to gather requirements and ship features end-to-end

  • Engineer against large structured-product datasets - Trepp, CoStar, loan-level vendors

  • Own the full quality stack: version control, testing, QC, performance optimization

  • Contribute across the broader securitized/structured products surface area as the desk needs

Requirements

All applicants must be able to work FTE without sponsorship

All applicants must be located in the NYC area and able to meet in person

All applicants must be experts in both C# and CMBS, 5-10+ years of strong C# / .NET production experience

  • Solid working knowledge of CMBS / CMBX and front-office workflows in credit and fixed income

  • Hands-on experience with large structured-product datasets (Trepp, CoStar, or similar)

  • Strong SQL and data-engineering chops

  • A track record of shipping production-grade quantitative systems on small teams

  • Bachelor's, Master's, or PhD in a Computer Science discipline

  • Front-office or desk-aligned tech experience (this is a must, not a nice-to-have)

Bonus

  • Python alongside C#

  • Statistical modeling, numerical methods, ML, Monte Carlo, fixed-income math

  • Familiarity with Markit, Bloomberg, Intex, Polypaths, or loan-level data vendors

The fine print

  • Comp: ~$450k total comp on the FTE track; equivalent economics available on a direct consulting engagement

Apply for this position