Financial Data Engineer

Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.Responsibilities:Ensure consistency and accuracy of P&L across multiple asset classes, financial instruments, and trading strategies.Implement and maintain pricing methodologies to obtain theoretical values for illiquid products.Work closely with the quant risk team to leverage P&L data for developing single trader and portfolio-level analytics, contributing to risk and performance metrics.Troubleshoot discrepancies in P&L data by collaborating with traders, middle office, accounting, risk teams, technology, and external data vendors.Oversee the workflow and processes for capturing real-time P&L, identifying areas for improvement in data accuracy and operational efficiency.Design and manage internal controls around automated P&L generation, ensuring compliance with firm-wide risk management and reporting standards.Participate in and contribute to the firm’s Performance Reporting and Risk Committees.Develop and document processes for handling regional market closures, holidays, and other disruptions affecting P&L calculations.Work closely with the risk and technology teams to develop and maintain bespoke P&L attribution tools to improve trader performance evaluation and market exposure analysis.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.3-5 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 and R 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.Strong communication skills, both oral and written, and the ability to work in a fast-paced, team-oriented environment.DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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