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Gravity Team

Prediction Markets Quant Trader

London
Posted about 22 hours ago
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About Us

At Gravity Team, a quantitative proprietary trading firm, we are on a mission to balance supply and demand across crypto and event-driven markets around the world.

Role Overview

We're looking for a high-performance Prediction Markets Quant Trader with deep experience in event contracts, forecasting, or High-Frequency Trading (HFT), someone who's ready to own their vertical and make an immediate PnL impact across platforms like Kalshi, Polymarket, PredictIt, and other emerging event-market venues.

Your Main Responsibilities

  • Develop and iterate high-frequency and systematic trading strategies for prediction/event markets (Kalshi, Polymarket, and similar platforms), with a focus on politics, macro, crypto, and sports-adjacent contracts.
  • Build and optimize predictive models and signals for pricing, execution, hedging, and post-trade analysis of binary and categorical event contracts.
  • Execute and manage arbitrage trades across prediction market venues and against correlated instruments (spot, futures, options), through to settlement — coordinating collateral/balances, internal transfers, withdrawals/deposits, and post-trade reconciliation to minimize fails.
  • Own the prediction markets trading pipeline — from probability/odds tracking, market making logic, to monitoring and deployment.
  • Collaborate on improving cross-venue hedging, correlated-market flows (e.g., crypto, macro, sports odds), and settlement logic across regulated and offshore platforms.
  • Analyze market microstructure, order book dynamics, and execution performance to improve Sharpe and reduce slippage on thinly-traded or event-driven contracts.
  • Help evolve our asset allocation logic — we actively manage assets and exposure across 30+ exchanges and prediction market venues daily.
  • Stay ahead of resolution criteria, event calendars, and rule nuances across platforms to identify mispricings and structural edges.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We Expect

  • 5+ years of experience in high-frequency or proprietary trading (crypto, prediction markets, sports betting, or traditional finance).
  • Prior work with prediction/event markets (Kalshi, Polymarket, PredictIt, sportsbooks, or similar), or a low-latency trading/execution system.
  • Hands-on experience trading binary/categorical outcome contracts, options, or other probability-based instruments.
  • Knowledge of event market structure, resolution mechanics, and price discovery across political, macro, crypto, and sports-linked contracts.
  • Solid experience in hedging logic, managing collateral/settlement flows, or optimizing asset rebalancing across multiple venues.
  • Deep understanding of market microstructure and how to design systems that extract edge from thin liquidity and event-driven order flow.
  • Strong ability to analyze PnL, post-trade statistics, and fine-tune strategies to optimize Sharpe ratio, turnover, and drawdowns.
  • Advanced proficiency in Python, applied statistics, and predictive/probabilistic modeling (e.g., calibration, Bayesian updating).
  • Familiarity with Rust is a valuable advantage.
  • Able to design and maintain robust trading infrastructure, including real-time monitoring, execution diagnostics, dynamic parameter tuning, and automated risk controls.

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Our Promise To You

We offer you hands-on insight into one of the most exciting and fastest-growing corners of finance today. Our work contributes to transforming how markets price real-world uncertainty and democratizing access to forecasting and event markets across the world.

Conditions

  • Extremely open idea meritocracy and close to zero bureaucracy.
  • Fast-moving, challenging, and unique business problems.
  • Working together with a highly talented team.
  • Profit shares directly linked to your performance and market results — the upside is unlimited.
  • Learning & Development budget.
  • Benefits you can combine yourself — free food, Bolt taxi, sports, spa & wellness, etc.
  • Opportunity to participate in global crypto and prediction-market events, making a direct and tangible impact on how these markets evolve.
  • Flexible working hours, casual work attire, and startup atmosphere.
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Skills

Quantitative trading
High-frequency trading
Prediction markets
Python
Market microstructure
Algorithmic trading
Predictive modeling
Statistical analysis
Bayesian updating
Rust
Hedging
Risk management
Order book dynamics
Arbitrage
Asset allocation
Data analysis

Location

London, England, United Kingdom

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