Senior Quantitative Analyst LHH Jersey City, New Jersey, United States (On-site)
LHH Recruitment Solutions is seeking a
Senior Quantitative Analyst at our top tier banking client in
Jersey City, NJ. Working closely with the Market Risk Methodology, Line of Business Risk Managers, and Technology teams, the candidate will work to enhance our overall risk management capabilities and provide support for the implementation, testing, and rollout of VaR/S-VaR market risk models.
SeniorQuantitative Analyst with 7-10 Years of Experience.
- Will be an analyst handling large date sets.
- Must have SQL and basic Python experience.
- Lead responsibilities for data governance of historical market data used in calculating Value at Risk (VaR), Stressed Value at Risk (SVaR), and other critical Market Risk metrics.
With a good working knowledge of market data infrastructure, data flows and market risk models, the candidate will be expected to play a significant role in the business design and risk system requirements, ensuring the completeness and accuracy of all market risk models.
A good understanding of the key risk drivers at product, business, and firm-wide levels is required. Additionally, a proven track record in the operational aspects of Market Risk, including design, testing, and monitoring of Market Risk processes. The ability to contact and communicate portfolio impact analysis on process changes and updates to Line of Business Risk Managers potential risks is required.
The candidate will liaise with Line of Business Risk Managers to provide market risk oversight, quantitative risk implications of regulatory changes, new product development etc. and enhance market risk models to reflect changes in the business environment. The role requires a flexible approach that can deal with problems that require pragmatic solutions and innovative thinking.
1) Master's Degree (MBA/MS) or equivalent degree with emphasis in finance, economics, accounting, computer science, or quantitative disciplines with minimum 10 years work experience in the position offered or related
2) An advanced understanding of the mathematical principles underlier these risk models and how these principles are implemented and controlled in large scale risk systems is highly desirable
3) Experience in quantitative computer programming (Python, SQL) with practical application to financial time series, advanced desktop technology skills such as Excel and PowerPoint are a must
Equal Opportunity Statement Equal Opportunity Employer/Veterans/Disabled
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Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs.
Pay Details: $84.50 per hour
Search managed by: Bert Baloga
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.