DV Trading
Overview
We are seeking an experienced Quantitative Analyst to play a critical role in designing and managing calculations and metrics essential to the firm’s risk management framework. This is a high-impact role as you collaborate with our risk analysts, traders, and senior leadership to ensure robust risk oversight and contribute to the development of performance and exposure analytics. Responsibilities
Design, implement, and manage theoretical end-of-day and real-time P&L calculations across multiple asset classes, financial instruments, and trading strategies across the firm. Implement and maintain pricing methodologies to obtain theoretical values for illiquid products. Develop and document processes for handling regional market closures, holidays, and other disruptions affecting P&L calculations. Design and manage internal controls around automated P&L generation, ensuring compliance with firm-wide risk management and reporting standards. Work closely with the quant risk team to leverage P&L data for developing single trader and portfolio-level analytics, market exposure analysis, and risk and performance metrics. Participate in and contribute to the firm’s Performance Reporting and Risk Committees. Perform validation of daily P&L data before final distribution to traders, risk management, and senior leadership. Requirements
Bachelor's degree required, preferably in Finance, Economics, Accounting, or STEM fields. A master’s degree in a data-intensive field (e.g., Data Science, Quantitative Finance, Mathematics, or Engineering) is preferred. 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. Specialized experience in one or more asset classes—fixed income, commodities, crypto, equities, or currencies—is preferred. Experience with derivatives pricing (forwards, futures, options, swaps, exotics). Strong understanding of financial instruments, pricing methodologies, risk metrics, and market conventions across regions. Proficiency in Python for data analysis and automation. Proficiency in SQL for database management and data querying. Strong quantitative skills and experience working with risk teams to develop analytics and performance metrics at both trader and portfolio levels. Familiarity with Bloomberg, Reuters, or other real-time market data systems. Experience with risk and P&L systems, especially across multi-region time zones, is a plus. Excellent analytical and problem-solving skills with a strong attention to detail. Annual compensation range $175,000 - $225,000 base + discretionary bonus eligibility DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
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We are seeking an experienced Quantitative Analyst to play a critical role in designing and managing calculations and metrics essential to the firm’s risk management framework. This is a high-impact role as you collaborate with our risk analysts, traders, and senior leadership to ensure robust risk oversight and contribute to the development of performance and exposure analytics. Responsibilities
Design, implement, and manage theoretical end-of-day and real-time P&L calculations across multiple asset classes, financial instruments, and trading strategies across the firm. Implement and maintain pricing methodologies to obtain theoretical values for illiquid products. Develop and document processes for handling regional market closures, holidays, and other disruptions affecting P&L calculations. Design and manage internal controls around automated P&L generation, ensuring compliance with firm-wide risk management and reporting standards. Work closely with the quant risk team to leverage P&L data for developing single trader and portfolio-level analytics, market exposure analysis, and risk and performance metrics. Participate in and contribute to the firm’s Performance Reporting and Risk Committees. Perform validation of daily P&L data before final distribution to traders, risk management, and senior leadership. Requirements
Bachelor's degree required, preferably in Finance, Economics, Accounting, or STEM fields. A master’s degree in a data-intensive field (e.g., Data Science, Quantitative Finance, Mathematics, or Engineering) is preferred. 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. Specialized experience in one or more asset classes—fixed income, commodities, crypto, equities, or currencies—is preferred. Experience with derivatives pricing (forwards, futures, options, swaps, exotics). Strong understanding of financial instruments, pricing methodologies, risk metrics, and market conventions across regions. Proficiency in Python for data analysis and automation. Proficiency in SQL for database management and data querying. Strong quantitative skills and experience working with risk teams to develop analytics and performance metrics at both trader and portfolio levels. Familiarity with Bloomberg, Reuters, or other real-time market data systems. Experience with risk and P&L systems, especially across multi-region time zones, is a plus. Excellent analytical and problem-solving skills with a strong attention to detail. Annual compensation range $175,000 - $225,000 base + discretionary bonus eligibility DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
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