About the company
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 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. DV Commodities is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Commodities to grow into one of the largest financial participants within the global energy complex.
Job Summary
Responsibilities:
šDevelop, validate, and maintain risk reporting tools and dashboards šDesign and enhance risk metrics and reports to support trading decisions and risk oversight šCollaborate with stakeholders across trading, technology, and risk to understand evolving requirements and continuously improve the risk analytics and reporting framework šOversee the quality and consistency of data used in internal and external risk systems and processes šTroubleshoot and improve data ingestion, transformation, and analysis pipelines šKeep track of and communicate the key assumptions and methods used in the analytics
Requirements:
š5+ years of experience in a risk analytics or similar role within a financial institution šStrong programming and scripting skills in Python and SQL. Experience in Django and a JavaScript framework is strongly preferred. šDeep understanding of financial instruments, trading strategies, and risk measures (VaR, P&L attribution, stress testing, etc.) šHands-on experience with risk systems, data pipelines, and analytics platforms šProven ability to translate complex data into meaningful risk insights and visualizations šExcellent communication skills and attention to detail
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