C++ Algo Developer| Options Trading | Experienced Hire

Susquehanna International Group, LLP; Lower Merion Township (Montgomery County); On-site; USD 180,000 - 260,000; Full time

Job summary

Susquehanna International Group, LLP is seeking engineers for the Strategy Development team. You will work on performance-sensitive C++ code, collaborate with quants and traders, and contribute to improving alpha generation and infrastructure.

The role involves handling large-scale data, exploring signals, and delivering ideas from concept to production in a fast-paced, meritocratic environment.

Qualifications

• 5+ years of progressive industry experience developing performance sensitive code in C++.

Responsibilities

• Enhance alpha generation and improve our strategy and research infrastructure.
• Tap into petabytes of raw market data to understand market dynamics and signals.
• Deliver ideas to production quickly through rapid iteration cycles.

Skills

C++

Distributed systems

Microservice architecture

Numerical programming / HPC

Python

C#

Leadership / architecture decisions

Education

Bachelor's degree in Computer Science, Mathematics or related

MS or PhD preferred

Tools

Git

Linux

Performance profiling tools

Job description

Overview

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.

We are hiring talented engineers to join our elite Strategy Development team. This is a computationally intensive role that will allow you to utilize both your data analysis and technology skills.

As a part of this team you will be on the front lines of the business iterating with quants and traders to enhance, refine, and evolve strategies. We’re looking for someone who has experience with highly performance-sensitive code. This is a great opportunity to work in a non-siloed, collaborative meritocracy on challenging problems with other scientists and engineers who have an impressive record both academically and in the workplace.

What You’ll Do

• Enhance alpha generation and improve our strategy and research infrastructure.
• Tap into tens of petabytes of raw and well-prepped full tick market data, strategy decisions, fundamentals, and many other data sources to understand market dynamics and find new signals
• Take advantage of rapid turnaround cycles, where you’ll see the efforts of strategy ideas implemented into production quickly

What we’re looking for

• 5+ years of progressive industry experience developing performance sensitive code in C++
• Expertise in C++ is required
• Experience with distributed systems and microservice architecture
• Strong numerical programming or HPC experience
• Prior experience working with C# or Python is a plus
• Prior experience leading a team or driving architecture decisions preferred
• Minimum of a Bachelor's degree in Computer Science, Mathematics or closely related discipline (Ideally MS or PhD)

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.