Quantitative/Data Developer | Fixed Income | Experienced Hire

SIG; Philadelphia (Philadelphia County); On-site; USD 120,000 - 160,000; Full time

Job summary

Susquehanna is seeking a Quantitative Developer to join our Fixed Income Technology Team. The role focuses on building and maintaining proprietary trading systems and interfaces used by the sales desk.

You will work with traders, quant analysts, and other tech teams to design, implement, and optimize data tools, models, and risk calculations in a fast-paced environment with production impact.

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. 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.

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.
• Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

Skills

Python

NumPy

Pandas

Interpersonal communication

Quantitative mindset

Capital markets interest

Education

Bachelor's degree in CS or related field

Advanced degree a plus

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.