Low-Latency Trading Strategy Engineer

SIG Susquehanna; Pennsylvania; Híbrido; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Casual, collaborative culture

Fully stocked kitchens

State-of-the-art fitness facility

Discounts for dining, entertainment, &

Social events & on-site services

Descripción de la vacante

SIG Susquehanna is hiring a quantitative strategy developer to tackle computationally intensive problems at the intersection of trading, quantitative analysis, and technology.

The role involves signal creation and detection, strategy analysis, and low-latency C++ development, working alongside senior developers to build and deploy advanced trading strategies.

Formación

• Bachelor's or master's in CS/CE/Math or related STEM.
• Intention to graduate and start full-time by August 2027.
• Strong Python and a compiled language development skills.
• Experience with data using Pandas, Polars, or NumPy.
• Exceptional quantitative, logical reasoning, and analytical abilities.

Conocimientos

Quantitative reasoning

Analytical thinking

Educación

Bachelor's or Master's in CS/CE/Math

Herramientas

Python

C++

NumPy

Pandas

Polars

Descripción del empleo

Overview

As a quantitative strategy developer, you'll work in a computationally intensive role that will allow you to use your strong technical skills to solve problems at the intersection of trading, quantitative analysis, and technology.

You will have the chance to work on challenging problems across our trading teams in areas such as signal creation and detection, quantitative strategy analysis, and low-latency C++ strategy development. You’ll work on the desk side by side with senior developers who understand the nuances of building complex trading strategies.

You will begin with a comprehensive education program designed to build a broad understanding of the role quantitative strategy developers play across our trading teams. Once you complete the program, you’ll be placed on a trading team that aligns with your interests and background. This will give you the best preparation possible for a career in quantitative strategy development.

What we're looking for

• Graduating with a bachelor's or master's degree in computer science, computer engineering, mathematics, or a closely related STEM discipline
• Intention to graduate and begin full-time employment by August 2027
• Strong software development skills in Python and a compiled language
• Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy
• Exceptional quantitative, logical reasoning, and analytical skills

What's init for you:

• Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm – the environment is casual, collaborative and we focus on continuous development.
• Fully stocked kitchens for breakfast, lunch, snacks, and beverages
• A forty thousand square-foot state of the art fitness facility with brand-new equipment, multi-purpose courts, group exercise classes, and locker room spaces
• Discounts for dining, entertainment, shopping, travel, and attractions
• Social events including a poker tournament, dinners, and sporting events in Philadelphia
• On-site services such as a mailroom, barber, dry cleaning, and car maintenance

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.

If you're a recruiting agency and want to partner with us, please reach out to [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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