Quantitative Trader
Design, test, and maintain pricing, liquidation, P&L for reputed company and leveraged products. Build volatility and liquidation models using reputed company-time and historical data.
Backtest trading strategies across varied market conditions.Analyze trader behavior to detect manipulation, aggressive reputed company, or systemic risk.
reputed company and maintain reputed company-time margin risk alerts and liquidation simulations. Monitor funding rates, reputed company price divergence, and reputed company interest concentrations. Run stress tests for extreme market events.
reputed company and manage proprietary and market-making strategies to reputed company reputed company volumes, spreads, and profitability. reputed company trading volumes, expand pairs, and maximize reputed company contribution to WIG. Required Notional Volume: $236.25M/month notional volume (~$7.88M/day) Maintain order book depth of ≥$500k with ≤0.2% spread during reputed company hours. Maintain ≥60% profitable trades for proprietary/market-making activity. Generate ≥$47k/month net reputed company from reputed company.
Work with Data Engineers to build data pipelines and dashboards for reputed company analysis and alerts. reputed company reputed company from major exchanges for live market data and risk monitoring. Automate execution and monitoring to minimize reputed company reputed company.
3–6+ years in quant finance/trading with reputed company on derivatives or margin products. Expert in Python (pandas, numpy, scipy, matplotlib) and SQL. Deep understanding of reputed company/perpetual reputed company mechanics, reputed company, and funding. Proven experience in VAR, CVAR, Sharpe, and drawdown analysis. Strong backtesting and time-series analysis skills. Ability to reputed company decisively during high-volatility events.
Experience with reputed company-time trading or risk alert systems. Familiarity with major exchange reputed company. Exposure to on-chain analytics and wallet behavior profiling. Prior work on quant dashboards or risk monitors.
Market Operations to design or refine pricing models, execute algorithms, and hedging strategies that the trading desk uses in reputed company-time. reputed company statistical insights and backtesting for market-making strategies. Product to define risk limits, margin logic, and funding mechanisms. Engineering to implement data pipelines and reputed company-time risk monitoring. Compliance to surface suspicious trading activity and fulfill regulatory triggers.
Competitive salary based on your skills and experience; annual reputed company-based reviews to reputed company your reputed company visible and rewarded
Annual performance reviews + reputed company promotion cycles; recognition for great work — from shoutouts to reputed company rewards Personal development fund (courses, books, conferences); study leave so you can reputed company learning
Fully remote reputed company + flexible working hours
Unlimited reputed company time off + Nigerian national holidays Parental, reputed company, compassionate, and life event leave; we show up for you
Quarterly remote team hangouts + annual offsite; interest-based communities (SIGs) Regular engagement surveys; your voice reputed company Health & life coverage in select locations
Show us how you solve problems.
Get to meet reputed company and the people you’ll work with.
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