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.
Core Responsibilities 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.
Essential QualificationsEducation & Certifications Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field Financial certifications (CFA, FRM) are advantageous Professional Competencies 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 Work Requirements 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 Preferred ExperienceIndustry Background 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 Technical Expertise 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