Senior Trader - Prediction Markets | Experienced Hire at Susquehanna International Group, LLP (SIG)

, , -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Trading Concepts, Decision Science, Probabilistic Reasoning, Prediction Markets, Market Structure, Pricing Mechanics, Liquidity Dynamics, Python, Pandas, Numpy, Critical Thinking, Model Assumptions, Communication Skills, Cross-Functional Collaboration

Industry

Financial Services

Description

Overview We are seeking a highly analytical and technically strong Trader with deep expertise in prediction markets and real-time modeling. The ideal candidate combines strong trading intuition, robust statistical and programming skills, and the ability to translate ambiguous problems into structured, high-quality models that drive profitable decision-making. Key Responsibilities Design and develop complex models to generate real-time fair values for intricate, uncertain domains (e.g., weather, event-driven outcomes, or probabilistic systems) Identify edge cases, structural pitfalls, and modeling risks, proactively addressing them to ensure robustness and operational stability Assess data needs and sourcing strategies, determining what inputs are required for accurate forecasting and collaborating with relevant teams to acquire them Build initial model prototypes in Python, using libraries such as pandas and numpy, and partner closely with developers to productionize these models for real-world trading Monitor, validate, and iterate on production models, ensuring strong performance and continuously improving predictive accuracy and trading outcomes Identify, evaluate, and execute market-take opportunities arising from model insights and prediction-market dynamics Collaborate with engineering teams to optimize trading strategies, enhance infrastructure, and scale automated decision-making What we're looking for Strong understanding of trading concepts, decision science, and probabilistic reasoning Extensive experience with prediction markets, including market structure, pricing mechanics, and liquidity dynamics Proficiency in Python, with deep working knowledge of pandas and numpy Ability to think critically about uncertainty, model assumptions, and real-world edge cases Strong communication skills and the ability to work cross-functionally with traders, developers, and data teams What’s In It For You Relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday) Fully stocked kitchens for breakfast, lunch, snacks, and beverages A 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 such as a poker tournament, holiday party, company outings, and more On-site Wellness Center On-site services such as a mailroom, barber, dry cleaning, and car maintenance Opportunities to give back to the community through Susquehanna sponsored events and donation drives 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 recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Responsibilities

The Senior Trader will design and develop complex models for real-time fair values in uncertain domains and monitor and iterate on production models to improve performance. They will also collaborate with engineering teams to optimize trading strategies and enhance infrastructure.