Quantitative Analyst

Position: Quantitative Analyst

Location: New York NY 10013 (2-3 days/week onsite)

Term: 10-12 Months Contract with possible extension/conversion

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will support the front office In-Business Risk team, working along with the trading and XVA desks in managing their market risk metrics and capital. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Required Skills & Experience
• A PhD or Master’s in a technical discipline such as Statistics, Computer Science, Mathematics, Physics, Quantitative Finance, Operations Research or similar.
• 6+ years of experience in quantitative modeling in the financial industry.
• Strong technical/programming skills such as in Python or C++.
• Skilled in data cleaning, transformation, and processing using Python libraries such as pandas and numpy.
• Hands-on skills writing SQL and experience working with large datasets.
• Understanding of commonly used market risk metrics and method such as VaR.
• Product knowledge of at least one asset class.
• Familiar with software development principles.
• Able to design, structure, and modularize complicated program.
• Experience with statistical analysis and calculations using market data.
• Clear and concise written and verbal communication skills.

Desired Skills & Experience
• Experience in Rates or Equities.
• Stress testing is a plus.
• Proficiency in delivering solutions using front-end frameworks like Angular and visualization tools like Tableau is a plus.
• Exposure to pricing models to evaluate risks of complex financial instruments.

What You Will Be Doing
• Build analytical tools and applications inlcuding AI powered apps for the business and traders’ use to assess market risk and capital metrics, and to develop efficient portfolio level hedge strategies.
• Develop and maintain large-scale in-house python and C++ analytics libraries.
• Develop well-structured high-quality code and contribute to contribute to large-scale in-house python libraries.
• Perform in-depth diagnosis of the current market risk and capital models and processes, partner with the business and other quant teams to propose and drive enhancement.
• Partner with traders, provide cost-benefit analysis to help on business prioritization, guidance and direction.
• Work with asset class quant teams to improve existing pricing models, to align with regulatory requirement and strengthen the process used for calculating risk metrics and valuation.