Risk Data Analyst

About Us:
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.

Overview:

In this role, you will play a critical role in supporting the team by delivering accurate and timely data for risk analysis, reporting, and decision-making. The role requires strong technical development skills and the ability to work with multiple data sources, including market data, position data, PnL, and risk metrics. The projects involve building pipelines, querying large datasets, and automating data workflows. A successful candidate will not only have strong technical and quantitative skills, but also the intuition to assess whether data “makes sense” in the context of markets and trading. The ability to validate, reconcile, and cross-check results before delivering them is essential, so that the risk team can rely on the data to guide critical decisions.

Responsibilities:

• Provide accurate, well-structured data to meet requests from risk team members as well as other teams within the firm, including:
  
  
  
  • Market data analysis
  
  
  • Position and exposure data
  
  
  • PnL and performance data
  
  
  • Risk metrics and model outputs
  
  


• Build efficient data pipelines to ensure availability of real-time and historical datasets.


• Collaborate with developers, risk analysts, and quants to integrate new data sources into the firm’s risk systems.


• Automate recurring data and reporting tasks.


• Ensure data quality, consistency, and reliability across different sources.


• Support ad-hoc investigations and deep dives into trading and risk data.


• Maintain and enhance data sets owned by the risk team.


• Contribute to risk model development, testing, and validation in partnership with quantitative analysts.

Requirements:

• 2–4 years of experience in a Data Analyst, Data Engineer, or Developer role in the finance domain.


• Background or strong interest in financial risk management and risk modeling.


• Strong proficiency in Python for data analysis and pipeline development.


• Solid experience with SQL and working with large structured datasets


• Familiarity with data engineering concepts (ETL, APIs, data pipelines).


• Strong analytical skills with attention to detail and data accuracy.


• Experience with time-series data and market data feeds.


• Familiarity with risk metrics such as VaR, stress testing, or scenario analysis.


• Understanding of system design for data-intensive applications.

Annual compensation range $130,000 - $170,000 base + discretionary bonus eligibility

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.