Quantitative Market Risk Analyst, Citi

Citi

Location:
United States, Irving

Category:
Finance

Contract Type:
Employment contract

Salary:

96400.00 - 144600.00 USD / Year

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Job Description:

The Quantitative Market Risk Analyst position involves developing and maintaining market risk models, conducting data analysis, and supporting Citi's risk management framework. Responsibilities include working on Basel 3 FRTB projects, executing to Model Risk Management standards, and collaborating with market risk managers. The role also emphasizes skills in Python, PySpark, SQL, and other quantitative tools.

Job Responsibility:

Research, analyze, develop codes, and document market risk models for Basel 3 FRTB projects
Conduct data exploration on historical market data to understand data features
Provide comprehensive interpretations, explanations, and conclusions based on a set of analytic results
Develop, validate, and improve SQL queries for all kinds of market data
Develop models and validate Python and PySpark codes
Assist others in technology issues on Hadoop platform, Linux, and Windows OS systems
Execute consistently to Model Risk Management heightened standards.

Requirements:

Master’s degree in Finance, Computer Science, Statistics, or another quantitative field (Mathematics, Engineering, Econometrics, Economics, etc.) is required
Advanced degree (PhD) is advantageous, as is exceptional academic record (rewards, recognition, etc.)
Demonstrable interest in applying sophisticated mathematical and analytical techniques to solve real-world problems—especially in banking, finance, or risk management—is required
Experience or knowledge of big data development is highly advantageous
Knowledge of or interest in finance, markets, risk management
Solid programming skills, with experience of statistical/data analysis techniques and numerical implementations and some familiarity of modern software development tools, is required
Specific experience in Python, PySpark, Hadoop, using statistical packages and regression models, Linux, databases, SQL, and git is particularly advantageous
Good written and verbal communication skills, with ability to synthesize complex technical information and explain it clearly, is required.

Nice to have:

Experience with big data development
Advanced degree (PhD) is advantageous
Familiarity with Python, PySpark, Hadoop, Linux, SQL, and git is particularly advantageous.

What we offer:

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

Additional Information:

Job Posted:
June 12, 2025

Expiration:
June 18, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Quantitative Market Risk Analyst