Counterparty Risk Analytics - Quantitative Analyst, Vice President

Citi - New York, NY3.9

Full-timeEstimated: $140,000 - $190,000 a year
Primary Location: United States,New York,New York
Education: Master's Degree
Job Function: Risk Management
Schedule: Full-time
Shift: Day Job
Employee Status: Regular
Travel Time: No
Job ID: 19012185


About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi’s Mission and Value Propositionexplains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all.

Key Responsibilities:
The Conterparty Risk Analytics (CRA) team within Citi's Quantitative Risk and Stress Testing (QRS) group is looking to add an VP (C13) level quantiative analyst.

The Counterparty Risk Analytics team is responsible for developing and maintaining the methodologies to calculate counterparty credit risk exposures of OTC derivatives (cleared and non-cleared), Exchanged-Traded derivatives, Security Financing Transactions, and Margined Loans. The models are used for advanced Basel regulatory capital calculations, stress testing (CCAR/ICCAP), and internal risk management measures (PSE/PSLE).
Besides model use supports, the team also provides live-deal analysis to business and risk management by calculating credit exposure factors (CEF) at trade and portfolio levels, estimating allowable collateral levels, and determining initial margin requirements. They also conduct impact analysis for capital optimization initiatives and new regulatory rules related to counterparty risk. They support to ensure that models and data logics are implemented correctly in credit risk systems.

Key responsibilities include:
Enhance Linux/C++ based counterparty credit exposure simulation, pricing, and margin/aggregation models for derivatives products, covering all major asset types (EQ, IR/FX, Credit, Commodity), and facing bilateral counterparties and central clearing houses
Perform rigorous model testing for all production models, including backtesting, stress testing, and other testing involved in the model development process
Analyze and provide comprehensive explanation of testing results to model reviewers including model validation, risk managers, and senior management
Perform statistical analysis on large volume of financial data, such as historical data analysis and simulation model parameter calibration
Support trading book credit risk management; Calculate portfolio level counterparty exposure such as EPE, EAD, CVA, used for both internal risk management, regulatory capital calculation, and stress testing


Graduate degree in Mathematical and Quantitative Field (Ex. Statistics, Physics, Engineering, Economics, Financial Engineering).
3+ years of experience in quantitative finance. Fewer years considered with additional advanced degrees.
Experience in counterparty risk modeling a plus.
Solid programming skills. Ideally from an object oriented language such as C++ and scripting language such as Python or Perl
Strong knowledge of financial products, stochastic calculus, and derivatives modeling.
Great communications skills in both verbal and written