Quantitative Developer

Company Description

Forkast is a prediction market platform focused on sports, gaming, and cryptocurrency markets. Users can trade in markets focused on trending topics across sports, livestreaming, esports, and financial markets.

• Execute high-frequency trading strategies during live sporting events and daily crypto price tracking markets.
• Plan, build, and maintain autonomous systems that execute and support market-making strategies on the exchange, with dynamic liquidity allocation driven by forecasting models and algorithms.
• Work on performance engineering to ensure the systems operate reliably and with low latency during live events and high-throughput periods
• Collaborate with quantitative researchers to implement forecasting models and algorithms in scalable, efficient production systems for real-time quoting and hedging
• Maintain accurate, organized records and audit trails of all executed trades and position states for compliance and post-trade analytics
• Handle large datasets; build forecasting models using historical pricing data and game data; combine bookmaker odds with proprietary models to generate fair prices and confidence intervals
• Utilize trading APIs (exchange and internal) to manage orders, inventory, and risk across multiple live markets simultaneously, including automated liquidity provision and position management.

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field
• Financial certifications (CFA, FRM) are advantageous

• Analytical Excellence: Superior ability to analyze complex data sets and identify trading opportunities
• Risk Management: Proven track record of managing financial risk in volatile markets
• Stress Management: Ability to perform effectively under high-pressure, time-sensitive conditions

• Flexible Schedule: Availability for evenings, weekends, and holidays during major sporting events
• Continuous Learning: Commitment to staying updated on market trends, new sports/esports, and trading technologies

• Sports Trading: Previous experience with live sports betting, odds compilation, or sports analytics
• Market Making: Experience with electronic market making in the cryptocurrency industry, liquidity provision, or order book management
• High-Frequency Trading: Background in algorithmic trading or systematic trading strategies
• Alternative Markets: Experience with prediction markets, sports betting, or non-traditional financial instruments



• Data Analysis: Advanced skills in statistical modeling, machine learning, or predictive analytics
• System Integration: Experience working with trading APIs, data feeds, and automated trading systems
• Performance Optimization: Track record of improving trading performance through technology and process enhancement