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Quant Model Risk Vice President

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Model Risk Vice President

at J.P. Morgan

Tech LeadNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Senior quantitative role in the Interest Rates Model Risk Governance team responsible for assessing and mitigating model risk across valuation, risk measurement and capital. Perform end-to-end model reviews, develop alternative model benchmarks, design performance metrics, and evaluate model performance regularly. Act as a primary contact for model usage guidance, liaise with model developers and control groups, and manage, train and mentor junior team members.

Location: LONDON, LONDON, United Kingdom

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

 

 

This is an attractive career path for you as a model development and model validation quant in a dynamic and challenging setting

Quant Model Risk Vice President

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Model Risk Vice President

at J.P. Morgan

Tech LeadNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Senior quantitative role in the Interest Rates Model Risk Governance team responsible for assessing and mitigating model risk across valuation, risk measurement and capital. Perform end-to-end model reviews, develop alternative model benchmarks, design performance metrics, and evaluate model performance regularly. Act as a primary contact for model usage guidance, liaise with model developers and control groups, and manage, train and mentor junior team members.

Location: LONDON, LONDON, United Kingdom

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

 

 

This is an attractive career path for you as a model development and model validation quant in a dynamic and challenging setting