Derivative Counterparty Risk Manager
New York, NY, United States
U.S. Bank
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Job Description
U.S. Bank is seeking a Quantitative Analyst to provide oversight on derivative business growth covering rates and foreign exchange derivatives ensuring such products are appropriately configured in counterparty model and risk measures are accurately quantified. The person will also have oversight on all other derivatives products that are used for hedging activities. The hedging product sets include but not limited to credit derivative, credit risk transfer products, equity like derivatives such ETF options. Additional responsibilities include activities that are required regulatory compliance such as risk process for accepting non-standard securities collateral (e.g. corporate bonds). Counterparty risk management for secured financing transactions and its appropriate configuration in risk metrics model will also be part of the responsibilities.
The counterparty risk management function is responsible for the management and control of counterparty risk at US Bank. The group provides independent review of counterparty risk across the business, producing detailed analysis of the derivative portfolio for internal and external constituents and manage the control framework under which counterparty risk is governed.
Serves as an escalation point in interactions with stakeholders across Front Office and Quantitative Model teams including development of teams and technology on various market data-related topics: Daily market data quantitative analysis, Data quality remediation efforts (e.g., designing quantitative key performance indicators so as to measure quality of data, or, quantitative approaches to fill missing data, working with Front Office desks), Communicates market data quality issues to downstream users
Manages requests for new market data (e.g., participating in new product approval process, interacting with vendor procurement teams). Ensures team adheres to firm-wide policies for data governance and controls. Coordinates with all external model vendors and internal quantitative partners around all key risk analytic topics. Works with model development and validation groups in ensuring the accuracy and reasonableness of the stress test and other model assumptions. Partners with them in ensuring on smooth maintenance of ongoing monitoring of models. Review all counterparty related model documentation and sign-off on key assumptions. Liaison with technology and other key groups regarding counterparty risk infrastructure and processes.
Basic Qualifications
- Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience
OR
- MA/MS in a quantitative field, and six or more years of related experience
OR
- PhD in a quantitative field, and five or more years of related experience
Preferred Skills/Experience
Experience in capital markets, industry experience within the specific sector of the position, or a combination of both
Master’s degree or higher in a quantitative field such as mathematics, engineering, physics, or statistics
Required strong Python & SQL
Experience financial modeling and strong understanding of stochastic processes
Experience building an efficient large scale and complex market data operations/end to end market data engineering processes in a sales and trading environment
Experience working with quant teams developing market data management systems which allow for efficient data retrieving to optimize modeling approaches
Experience leading large teams/multiple business partners, overseeing business as usual market data operations with strong governance processes and controls
Knowledge and understanding of traded derivative and cash products across all asset classes to effectively have discussions with Front Office traders, Market Risk Officers, and Risk Analytics team
Experience overseeing the development and implementation of quantitative methods for data quality checks and remediation techniques including statistical data filling methods and proxying
Understanding of how market data impacts the downstream uses
Counterparty credit risk and CVA
Understanding of major market data sources (e.g., Bloomberg, Reuters, Markit)
Market data object construction methods for curves and volatility surfaces
Risk factor types across asset classes
Market data related to regulatory requirements
Experience in quantitative or complex data management field
Experience working with large scale and complex data management systems
Proficient in Python and SQL (reading and writing queries)
NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $148,495.00 - $174,700.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
Tags: Credit risk Data governance Data management DataOps Data quality Engineering Excel Mathematics ML models PhD Physics Python Security SQL Statistics
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Team events
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