Job Description

Quantitative Risk Analyst

Job Number: 19-09514


Help drive change! Eclaro is looking for a Quantitative Risk Analyst for our client in Chicago, IL.


Eclaro’s client is a leading global bank stimulating change and innovation in the industry by offering top-notch financial products and services for a wide-range of clients worldwide. If you’re up to the challenge, then take a chance at this rewarding opportunity!



  • Daily support of the Risk Analytics and Compliance offerings for franchise clients
  • Utilize Python for adhoc data analysis, numerical computations, and basic automation
  • Analysis of portfolio market risk - including scenario analysis, stress testing, and value at risk
  • Monitoring of portfolios against exposure, liquidity, risk, and regulatory limits
  • Working with clients to understand development requests, coordinate builds with IT
  • Quality control large sets of market data and model results using analytical tools
  • Assist with tactical design for strategic projects


Required Qualifications:

  • Minimum 3 years of work experience within a Quantitative or Financial Services domain
  • Exhibits a strong interest in numerical computations and data science
  • Proficiency in Python required (including Pandas, Numpy, and Requests or other experience working with REST APIs)
  • Experience working in both Linux and Windows
  • Familiarity with R, MATLAB, VBA, HTML, or SQL a plus
  • Basic understanding of financial products and portfolio management concepts
  • Experience analyzing business risks and operational processes
  • Ability to think creatively about business issues, strong problem solving skills
  • Excellent interpersonal skills
  • Strong numerate or finance degree (ie: Engineering, Computer Science, Math, Finance)
  • Adaptive, flexible style - able to work in a dynamic, fast-paced environment
  • Bachelor's Degree required


If interested, you may contact:

Tony Viterbo


Tony Viterbo | LinkedIn


Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

Apply Online