The Counterparty Risk Analytics team within Citi Quantitative Risk and Stress Testing group is looking to add a VP level Quantitative Analyst/Developer.
**Team:**
+ The Counterparty Risk Analytics team is responsible for developing and maintaining the methodologies to calculate counterparty credit risk exposures of OTC derivatives, Exchanged-Traded derivatives and Security Financing Transactions. The models are used for advanced Basel regulatory capital calculations, stress testing, and internal risk management measures.
+ As a quant developer, you will be developing state of the art codebase used for model implementation, testing and providing analysis for the business. It is a great opportunity to work on some of the most challenging problems of the team and apply new technologies to meet business needs.
**Key responsibilities include:**
+ Enhance counterparty credit exposure simulation, pricing, and margin models for derivatives products, covering all major asset types. This role will particularly focus on aspects related to the simulation of margin requirement and collateral under several types of legal agreements and algorithms to aggregate exposure from simulation and standardized approaches (SA-CCR)
+ Enhance counterparty credit risk model for security financing transactions (e.g. repo) and cross-product margin agreements
+ Perform rigorous model testing for all production models, including back-testing, 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
+ Design, develop, test, release, maintain and improve counterparty credit risk models codebase for calibration, simulation and pricing across all major asset classes
**Qualifications:**
+ Masters Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with 3-5 years of Quantitative experience.
+ Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a PhD, a second Masters degree, CPA or CFA
+ Strong object-oriented programming skills in Python with experience in C++ and parallel computing a plus
+ Solid background in mathematics/finance including: stochastic calculus, linear algebra, numerical methods, derivative modeling
+ Strong work ethic and a team player with excellent time management skills and ability to multi-task
+ Great communications skills in both verbal and written form
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**Job Family Group:**
Risk Management
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**Job Family:**
Risk Analytics, Modeling, and Validation
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**Time Type:**
Full time
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Citi is an equal opportunity and affirmative action employer.
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