Senior PM / Trader / Quant
Tanius TechnologyFull Time
Senior (5 to 8 years)
Candidates are required to possess a Bachelor's degree in Finance, Economics, Accounting, or a STEM field, and a Master’s degree in a data-intensive field such as Data Science, Quantitative Finance, Mathematics, or Engineering is preferred. They should have at least 5 years of relevant experience in a hedge fund, proprietary trading firm, or bank’s trading desk, with a focus on P&L, performance data, and quant analytics, and specialized experience in one or more asset classes—fixed income, commodities, crypto, equities, or currencies is preferred. Proficiency in Python for data analysis and automation, and SQL for database management and data querying are also required.
The Quantitative Risk Analyst will design, implement, and manage theoretical end-of-day and real-time P&L calculations across multiple asset classes, financial instruments, and trading strategies, implement and maintain pricing methodologies to obtain theoretical values for illiquid products, develop and document processes for handling regional market closures and disruptions affecting P&L calculations, design and manage internal controls around automated P&L generation, work closely with the quant risk team to leverage P&L data for developing analytics and risk metrics, participate in Performance Reporting and Risk Committees, and perform validation of daily P&L data before distribution to traders, risk management, and senior leadership.
Proprietary trading and liquidity provision firm
DV Trading is a proprietary trading firm that engages in trading financial instruments on derivatives and securities exchanges worldwide. The firm uses its own capital and advanced technology to provide liquidity in the markets, employing both quantitative and discretionary trading strategies. Unlike its competitors, DV Trading fosters a collaborative culture with a flat organizational structure, allowing for quick adaptation to market changes. The company's goal is to optimize trading performance and achieve significant returns by leveraging its market relationships.