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Senior Trader - Prediction Markets | Experienced Hire

• Posted 4 days ago • Updated 4 days ago

Full Time

On-site

Fitment

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Job Details

Skills

Analytical Skill
Real-time
Modeling
Sourcing
Forecasting
Prototyping
Collaboration
Decision-making
Science
Reasoning
Pricing
Mechanics
Dynamics
Python
Pandas
NumPy
Communication
Art
Brand
Innovation
Trading
Machine Learning (ML)
Quantitative Research
Microsoft Excel
Recruiting

Summary

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.

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

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24569333
Posted 4 days ago

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