2019 Quantitative Analyst Internship Program (JP Morgan Chase)

Spend your internship working alongside our top tier professionals, driving innovation through financial engineering, derivatives modeling, asset and liability management and risk management. You'll help develop or validate mathematical models, methodologies and tools used throughout the firm while gaining in-depth insight into the world of risk modeling, investment banking and the financial services industry.

WHAT YOU CAN EXPECT:

Our summer associate internship program in New York are 3-6 month cycles starting in either May or June. Your learning and growth will be supported throughout the entire internship.

Full-time employment offers may be extended upon successful completion of the program.

You can launch your career with us in one of several opportunities:

Quantitative Research (QR)

Quantitative Research is responsible for developing and maintaining sophisticated mathematical models, methodologies and tools used throughout the firm. QR is comprised of several functional teams:

• Asset aligned teams supporting the respective trading businesses - QR Rates, QR Credit/Securitized Product Group, QR FX, QR Equity Derivatives, QR Commodities, QR financing, or QR emerging markets
• Algorithmic trading strategies teams - QR Equity Linear
• Cross asset aligned teams
  • QR Market Risk team support the market risk management and capitalization across the firm’s trading businesses,
  • QR Counterparty Credit Risk team supports the CVA trading desk, which is responsible for managing the bank’s retained counterparty credit risk,
• QR Analytics team is responsible for core library frameworks, cross-asset pricing engines, continuous integration infrastructure and high-performance computing.

Model Risk Governance & Review (MRGR)

Our Model Risk Governance & Review teams work with model developers and the business to review and approve models for actual use and monitor performance for risk measurement. We are comprised of two functional teams, each with sub-teams aligned by asset class: (1) Model Review Group (MRG) carries out the review of models used across the firm and assesses and helps mitigate model risk in the context of valuation, risk measurement, capital calculation, and other material decision-making processes; and (2) Model Governance Group (MGG) is in charge of developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage within a business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model’s strengths and limitations.

Treasury and Chief Investment Office (T/CIO)

The Treasury and Chief Investment Office (T/CIO) is responsible for firmwide asset and liability management for one of the world’s largest global financial institutions with more than $2.4tn in assets and liabilities, including more than $900bn in loans and over $1.4tn in deposits. Treasury and CIO oversee a $300bn global investment securities portfolio used to manage the firm’s interest rate and currency exposure.

T/CIO is responsible for developing and executing the firm’s capital, balance sheet, liquidity and funding strategies.  Global Portfolio Strategy within T/CIO is responsible for developing strategy and quantitative models to support the management of the firm’s assets and liabilities. The group is also responsible for the management of the firm’s $14bn Retirement Plan, which includes an investment portfolio spanning a wide range of asset classes across the globe.

As a Strategy intern, you will conduct research and contribute to the development of analytics in various aspects of the management of the T/CIO investment portfolio. The job responsibilities will include, but are not limited to: analysis of assets and liabilities in the firm’s balance sheet, evaluation and understanding of market risk, development of advanced analytics to support data analysis, understanding of regulatory and accounting changes and constraints and their impact to the firm and analysis of investment strategies for the firm’s Retirement Plan.

ABOUT YOU

We're looking for innovative problem-solvers with a passion for developing complex solutions that support our global business.

Key Qualifications

• Enrolled in a master’s or Ph.D. degree program in math, sciences, engineering, computer science or other quantitative fields
• Excellent analytical, quantitative and problem solving skills and demonstrated research skills
• Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience

Desirable skills

• Mastery of advanced mathematics (probability theory, stochastic calculus, partial differential equations, numerical analysis, statistics, econometrics) or the ability to program using C++ or Python.
• Knowledge of options pricing theory, trading algorithms or financial regulations But beyond that, what we’re most interested in are the things that make you unique: the personal qualities, outside interests and achievements beyond academia that demonstrate the kind of person you are and the difference you could bring to the team.