Quantitative Trader

Job highlights

• Improve execution logic to reduce slippage and adverse selection. . What We re Looking For Must-Have . 4+ years of experience building and deploying quantitative trading strategies. . Strong understanding of: . Probability theory and expected value. Pricing and odds. Arbitrage and relative value strategies

Who we are

Teesta Investment is a proprietary high-frequency trading (HFT) and market-making firm in digital assets, built on speed, precision, patience and automation. We design automated systems that trade 24 7 across global crypto markets, bringing liquidity and efficiency wherever we operate. Born in India, we ve grown into a global force by blending technology, quantitative research, and deep market intuition. At Teesta, curiosity meets discipline and every idea is built, tested, and scaled at lightning speed.

About the Opportunity

Prediction markets are at an early inflection point thin liquidity, fragmented venues, inefficient pricing, and frequent arbitrage opportunities. We re building systematic trading strategies to exploit these mispricings using probability-driven models, fast execution, and disciplined risk management.

This is a builder role with high ownership. You ll be among the first to shape our prediction markets trading stack from idea generation to live deployment.

Role Overview

We are looking for a Quant Trader with hands-on experience in designing, building, and deploying trading strategies. The ideal candidate understands probabilities, pricing, and arbitrage, and is excited to work in a new, evolving market structure where intuition and first-principles thinking matter as much as models.

Key Responsibilities Trading & Strategy

• Identify and exploit systematic trading strategies across market venues.
• Build probabilistic pricing models for event-based contracts.
• Design and test systematic trading strategies (market making, cross-market arb, latency-less inefficiency capture, etc.).
• Translate qualitative event signals into quantitative trading logic.
• Manage position sizing, exposure, and downside risk in low-liquidity environments.

Research & Modeling

• Work with probabilities, odds, implied markets, and Bayesian-style updates.
• Backtest strategies using historical and simulated market data.
• Continuously refine models as market microstructure evolves.
• Develop heuristics where data is sparse or regimes are unstable.

Execution & Systems

• Collaborate with a dedicated developer to deploy live strategies.

• If technically strong, independently:

• Write production-grade trading code

• Integrate APIs

• Build monitoring, logging, and kill-switches

• Improve execution logic to reduce slippage and adverse selection.

What We re Looking For Must-Have

• 4+ years of experience building and deploying quantitative trading strategies.

• Strong understanding of:

• Probability theory and expected value

• Pricing and odds

• Arbitrage and relative value strategies

• Prior experience in live trading environments (crypto, HFT-lite, options, or similar).

• Ability to think independently and operate with minimal supervision.

Nice-to-Have

• Experience in prediction markets, sports betting, or event-based trading.
• Strong coding skills in Python (and/or C++/Rust/Go).
• Familiarity with market microstructure in illiquid or fragmented markets.
• Experience working with APIs, real-time data, and automated execution.
• Crypto / DeFi market experience.

Mindset & Culture Fit

• Go-getter mentality with high ownership.
• Excited by new markets and imperfect systems.
• Comfortable operating with ambiguity and sparse data.
• Curious, experimental, and fast-learning.
• Motivated by finding edge in idiosyncratic, non-consensus opportunities.

What You ll Get

• Opportunity to build and own a new trading vertical from the ground up.
• High impact role with real P&L responsibility.
• Direct access to decision-makers.
• Flat structure, fast iteration, and freedom to experiment.
• Competitive compensation aligned with performance.