Quantitative Systematic Trader | Experienced Hire

Trading Interview; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Susquehanna is seeking a quantitative systematic trader who blends trading, research and technology. You will explore market data, apply math and programming to generate signals, backtest ideas, and evaluate performance.

Collaborate with researchers, strategists and traders in a fast-paced, non-hierarchical environment. A strong mathematical background, coding skills (Python, C++) and curiosity about markets are essential for success.

Qualifications

• Advanced degree in a quantitative field.
• Strong analytical and problem-solving skills.
• Excellent communication and ability to explain complex ideas.
• Experience processing and analyzing large data sets with Python.
• C++ or other low-level languages a plus.
• Interest in strategic games or competitive activities.
• Ability to thrive in a fast-paced environment.
• Prior finance industry experience not required but passion for financial problems with real-time impact is crucial.

Responsibilities

• Develop trading signals from market data using mathematical and statistical methods.
• Back-test trading ideas and analyze performance to refine strategies.
• Collaborate with quant researchers, strategists, and traders to brainstorm new ideas.

Skills

Analytical

Python

C++

Communication

Finance interest

Fast-paced

Education

Advanced degree

Tools

Python

C++

Job description

Job Type Full-time

Posted February 2024

Job description

Overview

Our Quantitative Systematic Traders connect ideas between trading, quantitative research, and technology to improve how trading decisions are made. As a true hybrid of our core disciplines, you will investigate ideas by immersing yourself in market data, leveraging mathematics, statistics, and programming. Through your research, you will discover new patterns that transform into trading signals, back test your results and carefully analyze its performance. As your trading strategy evolves, you will discuss with other quant researchers, strategists, and traders to collect feedback and brainstorm new ideas.

What we're looking for

• Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research or related discipline.
• Demonstrate excellent analytical problem-solving and logical reasoning skills.
• Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood.
• Experience writing code to process and analyze large sets of data, especially in Python.
• Experience in C++ or other low level programming languages is a plus.
• Demonstrated interest in strategic games and/or competitive activities.
• Ability to thrive in a fast-paced environment.
• Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial.

What you can expect from us:

Real Impact: Solve complex technical challenges, working alongside other quantitative systematic traders, and a highly collaborative and agile environment. Increased competence of technical skills from a blend of research, development, and trading related problems. Directly seeing how you're research contributions influence trading decisions making a firm-wide impact that makes us all smarter, faster, and better every day.

Balanced, Collaborative Working Culture: Our non-hierarchical culture allows employees of every level to thrive together regardless of title or tenure at Susquehanna. With industry-leading work/life balance and a casual office environment, we're focused on continuous development of our people in a way that works for them professionally and personally.

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.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.

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