Quantitative Analyst/Developer- Banking

Job Title: Quantitative Analyst / Developer (Market Risk, Python Coding)Location: New York City (Hybrid – 3 days onsite/week)Duration: 10 months (Possible Extension/Conversion)
Job Description:
We are seeking a Quantitative Analyst or Developer with a focus on market risk and Python coding to join the Market Quantitative Analysis (MQA) team in Citi’s front office. This role involves working closely with trading and risk managers to manage market risk metrics and capital.
The ideal candidate will have strong Python development skills, experience handling large datasets, and a background in trading, specifically market risk. The position requires the development of tools and applications that help traders assess market risk, stress loss, and manage trading capital.
Responsibilities:

Build advanced analytical tools and web applications, including AI-powered tools, to assess market risk, stress loss, capital metrics, and portfolio-level hedge strategies.
Develop well-structured, high-quality code and contribute to large-scale in-house Python libraries.
Perform in-depth analysis of market risk and capital models, collaborating with the business and other quant teams to propose and implement enhancements.
Partner with traders, providing cost-benefit analysis to assist with business prioritization and provide guidance on market risk and capital management.

Required Skills:

Strong Python Programming: Must have significant development experience in large-scale production systems (not just offline analytical code). Experience in committing code into production is essential. The interview will focus on programming skills.
SQL Expertise: Must be proficient in SQL and capable of handling large datasets (millions of records).
Quick Learner: Must be able to quickly understand market risk and asset class knowledge, with an openness to ongoing training.
Data Handling: Strong experience with data cleaning, transformation, and processing using Python libraries like pandas and numpy.

Desired Skills:

Familiarity with software development principles and experience with collaborative code development using platforms such as Git or Bitbucket.
Experience with front-end frameworks like Angular and data visualization tools like Tableau is a plus.
Knowledge of market risk metrics and methods, such as VaR (Value at Risk) and stress testing, is a plus.
Clear and concise written and verbal communication skills.

Qualifications:

Experience: 6+ years of experience in quantitative modeling, specifically within the financial industry.
Education: A PhD or Master’s degree in a technical discipline such as statistics, mathematics, physics, computer science, quantitative finance, operations research, or a related field.

Job Type: Contract
Pay: $95.00 - $100.00 per hour
Expected hours: 40 per week
Work Location: In person