Susquehanna International Group, LLP
Senior Trader - Prediction Markets
Susquehanna International Group, LLP, Bala Cynwyd, Pennsylvania, United States, 19004
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 40,000 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 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
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.
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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 40,000 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 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
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.
#J-18808-Ljbffr