Quant Model Risk Vice President (London)

Join to apply for the Quant Model Risk Vice President role at JPMorganChase

Join to apply for the Quant Model Risk Vice President role at JPMorganChase

Job Description

We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm.

Job Description

We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm.

As a Quant Model Risk Vice President in the Model Risk Governance team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely with model developers and users.

You will also have managerial responsibility to oversee, train and mentor junior members of the team.

Job Responsibilities

• Carry out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures
• Provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models
• Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics
• Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk
• Evaluate model performance on a regular basis
• Manage and develop junior members of the team.

Required Qualifications, Capabilities, And Skills

• Significant experience in a FO or model risk quantitative role.
• Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis
• MSc, PhD or equivalent in a quantitative discipline
• Inquisitive nature, ability to ask right questions and escalate issues
• Excellent communication skills (written and verbal)
• Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives)
• Good coding skills, for example in C/C++ or Python

Preferred Qualifications, Capabilities, And Skills

• Experience with interest rates derivatives

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

• Seniority level
  Mid-Senior level

• Employment type
  Full-time

• Job function
  Research, Analyst, and Information Technology

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