SVP Senior Quantitative Engineer

Citi's DSE (DART Solution Engineering) team is seeking a Senior Quantitative Engineer to lead the development of their wholesale credit loss forecast library. This role sits at the intersection of quantitative finance and software engineering, implementing critical risk models that ensure adequate capital for the bank's lending portfolios.

The position involves working with sophisticated mathematical modeling and cutting-edge technologies to build loss forecasting and stress testing pipelines. These systems are responsible for calculating risk on some of Citi's largest portfolios, covering both internal and regulatory reserve calculations including CECL, CCAR, IFRS9, ICAAP/EBA, GSST, and climate risk modeling.

As a Senior Quantitative Engineer, you'll be leading the implementation and maintenance of wholesale credit loss models, working closely with model developers and stakeholders across the organization. The role requires a deep understanding of financial markets, strong technical skills, and the ability to bridge the gap between complex mathematical models and practical software implementation.

The position offers a competitive salary range of $176,720 - $265,080, along with comprehensive benefits including medical, dental, and vision coverage, 401(k), life insurance, and various wellness programs. Citi provides a supportive work environment with opportunities for professional growth and development.

The ideal candidate will bring a combination of quantitative expertise (Master's or PhD required) and practical experience (7+ years) in financial model development. Strong programming skills, particularly in Python or C++, are essential, as is the ability to work effectively with cross-functional teams and communicate complex technical concepts clearly.

This role represents an opportunity to work on critical financial infrastructure at one of the world's leading banks, implementing solutions that directly impact the institution's risk management capabilities. The position offers both technical challenges and leadership opportunities, including mentoring junior developers and engaging with various stakeholders from model developers to regulators.