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JPMorgan Quantitative Analytics Analyst & Associate 
United Kingdom, England, London 
503888062

07.09.2024

Job Summary

As a 2025 Off-Cycle Intern in the Quantitative Analytics Analyst & Associate Program, you will join our Quantitative Analytics team. Our Off-Cycle Analyst & Associate Internship Program begins in Spring, Summer or Autumn, depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.

Model Risk Governance Review (MRGR)

MRGRis composed of six distinct units as follows:

  • CIB Trading MRGR – Responsible for all front office pricing and valuation models in CIB, in addition to models used for e-trading.
  • CIB ex-trading and CB MRGR – Responsible for VaR and Market Risk Capital, Counterparty Credit Risk and XVA, Wholesale Loss Forecasting and CIB Data Science.
  • CCB MRGR – Responsible for CCB models.
  • AWM and CTC MRGR – Responsible for AWM, CIO, Treasury and Corporate including deposit and SIRR models, MEVs, compliance models and other corporate models.
  • MRGR COO – Responsible for MRGR operational processes, technology, review strategy and planning, project management of audits and regulatory commitments, and reporting.
  • Policy, Practice and Governance – Responsible for policies, procedures, standards, and cross-LOB governance activities.
  • Candidates will be eligible for Analyst or Associate programs based on their academic experience:
    • Candidates enrolled in a PhD program will be eligible for Associate level positions.
    • Candidates enrolled in a Bachelor’s or Master’s program will be eligible for Analyst level positions.
  • Candidates eligible for Associate programs are expected to demonstrate advanced proficiency in any programming language.

Job Responsibilities

  • Work collaboratively across the entire organization to find and solve problems before they grow
  • Propose innovative ways to solve challenges and answer queries
  • Work on complex problems that require creative solutions
  • Manage relationships with clients, regulators and stakeholders to minimize risks and follow laws in various locations

Required qualifications, capabilities and skills

  • Enrolled in a Bachelor’s or Master’s or a PhD program in Engineering, Mathematics, Physics, Computer Science, etc. with an expected graduation date from January 2024 to December 2025
  • Demonstrate quantitative and problem solving skills as well as research ability
  • Ability to communicate concepts and ideas, both verbally and via documentation, and explain technical material to a non-technical audience
  • Knowledge of and proficiency in Python 2, Python 3, C, C++

Preferred qualifications, capabilities and skills

  • Understanding of advanced mathematics arising in financial modelling (probability theory, stochastic calculus, partial differential equations, numerical analysis, statistics, econometrics)
  • Knowledge of options pricing theory, trading algorithms or financial regulations

After you confirm your application, we will review it to determine whether you meet certain required qualifications.

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HackerRank and HireVue are required, and your application will not be considered for further review until you have completed these steps. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.