Senior Trader - Prediction Markets | Experienced Hire

Susquehanna International Group, LLP; Bala Cynwyd, Philadelphia (PA, Philadelphia County); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relaxed dress code

Fully stocked kitchens

On-site fitness facility

Social events

Job summary

Susquehanna International Group, LLP is seeking a highly analytical trader with deep expertise in prediction markets and real-time modeling. The role emphasizes translating ambiguous problems into structured, high-quality models that drive profitable decision-making.

You will design and validate real-time models in Python, work with data teams to source inputs, and collaborate with engineers to productionize trading models that improve liquidity dynamics and risk-adjusted returns.

Qualifications

• 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

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

Skills

Prediction markets

Trading concepts

Python programming

Probabilistic reasoning

Tools

Pandas

NumPy

Job 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.

What you'll do

• 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 we offer

• 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 services such as a wallness centerm 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.