Quantitative/Data Developer | Fixed Income | Experienced Hire

SIG Susquehanna; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Susquehanna is seeking a Quantitative Developer with Python experience to join the Fixed Income Technology Team. You will work with traders, quant analysts, and other tech groups to build and maintain proprietary trading systems that handle market data, pricing, risk, and P&L.

You’ll design software that scales in a fast-paced environment and collaborates across teams to translate requirements into robust technical solutions. A strong background in Python and finance is essential.

Qualifications

• At least 3 years of experience developing data tools and applications in Python is required.
• Experience with the Python data science stack: NumPy, Pandas etc.
• Bachelor’s degree in CS, applied science, or similar preferred; advanced degree a plus.

Responsibilities

• Design and create proprietary software to handle mission critical trading demands, including market data, quoting, pricing, risk, and P&L.
• Work closely with traders and analysts to understand and iterate on requirements.
• Collaborate with various technology teams to deliver efficient and scalable solutions in a fast paced environment, impacting production systems.

Skills

Python

NumPy

Pandas

Financial modeling

Strong communication

Data tools

Education

Bachelor’s degree in CS or related

Job description

Overview

Susquehanna is seeking a Quantitative Developer with experience in Python to join our Fixed Income Technology Team.

This team focuses primarily on trading interfaces and technologies to empower the sales desk. You’ll work alongside traders, quant analysts, and other technology teams to create, maintain, and enhance our proprietary trading systems.

In this role, you will:

• Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L.
• Work closely with traders and analysts to understand and iterate on requirements.
• Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

What we're looking for

• At least 3 years of experience developing data tools and applications in Python is required.
• Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
• Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms, preferred.
• Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required.
• Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
• Minimum Bachelor’s degree in CS, applied science, or similar preferred, advanced degree a plus.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.