Real-Time Quant Developer – Front-Office Trading Infra

Selby Jennings; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Selby Jennings is seeking a Quantitative Developer to build and scale real-time risk, P&L, and market data platforms used by Portfolio Managers, Traders, and Quantitative Researchers. The role blends software engineering with quantitative finance to deliver analytics, exposure management, and risk visibility across asset classes.

You will work at the intersection of engineering and trading, shaping systems that influence portfolio construction and trading decisions, with close interaction with

Qualifications

• Bachelor's degree or higher in a quantitative field.
• Experience building large-scale production systems.
• Experience with real-time data processing and low-latency systems.

Responsibilities

• Design and develop large-scale risk, P&L, and market data platforms for front-office teams.
• Build real-time systems providing visibility into portfolio exposures, positions, and risk metrics.
• Develop scalable pipelines for streaming financial data.
• Collaborate with Portfolio Managers, Traders, and Researchers to deliver tech solutions.
• Enhance portfolio analytics, exposure analytics, position management, and risk reporting.
• Support production trading and analytics systems in fast-paced environments.
• Contribute to architecture of next-gen risk and analytics across asset classes.
• Evaluate technologies to improve performance, scalability, and usability for front-office stakeholders.

Skills

Java

Python

C++

Distributed systems

Low-latency

Real-time data processing

Front-office collaboration

Education

Bachelor's or higher in CS/Engineering/Math/Physics

Master's or PhD preferred

Tools

KDB+/q

ClickHouse

Kubernetes

Public cloud (AWS/GCP)

Job description

Selby Jennings is seeking a Quantitative Developer to build and scale real-time risk, P&L, and market data platforms used by Portfolio Managers, Traders, and Quantitative Researchers. The role blends software engineering with quantitative finance to deliver analytics, exposure management, and risk visibility across asset classes.

You will work at the intersection of engineering and trading, shaping systems that influence portfolio construction and trading decisions, with close interaction with