JPMorganChase
Quantitative Research - Rates - Vice President
JPMorganChase, New York, New York, us, 10261
JOB DESCRIPTIONWe are seeking a person to join the JP Morgan Rates Quantitative Research team, supporting NA Fixed Income Financing, Inflation, and Bond Securities Trading.
Job Summary:
As a Quantitative Research, Rates Vice President, you will be working on a diverse portfolio of financial instruments. We expect you to share in a balanced mixture of responsibilities, including support for and discussion with traders, model research and development, model documentation, model deployment, pricing and risk investigation, product-specific analysis, software and trading tool development.
Job Responsibilities:
Develop models and implement them in Python/C++ for pricing and risk managing trades.
Rapidly build prototype models and tools; compare results of various techniques.
Explain model behavior and predictions to traders and controllers, identify major sources of risk in portfolios, carry out scenario analysis, provide guidance / debug analytics.
Write well-formulated documents of model specification and implementation testing.
Required Qualifications, Capabilities and Skills:
Strong software development and Python/C++ skills
Strong analytical and problem-solving abilities
Familiarity with probability theory, stochastic processes, and numerical analysis
Strong communication skills, both oral and written
PhD or equivalent in Mathematics, Math Finance, Physics, or other quantitative subject
At least 2+ years working experience, ideally in a front office environment
Preferred Qualifications, Capabilities and Skills:
Knowledge of financial products, from loans, repos and bonds to be structured and exotic deals
Knowledge of machine learning/statistical techniques
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Job Summary:
As a Quantitative Research, Rates Vice President, you will be working on a diverse portfolio of financial instruments. We expect you to share in a balanced mixture of responsibilities, including support for and discussion with traders, model research and development, model documentation, model deployment, pricing and risk investigation, product-specific analysis, software and trading tool development.
Job Responsibilities:
Develop models and implement them in Python/C++ for pricing and risk managing trades.
Rapidly build prototype models and tools; compare results of various techniques.
Explain model behavior and predictions to traders and controllers, identify major sources of risk in portfolios, carry out scenario analysis, provide guidance / debug analytics.
Write well-formulated documents of model specification and implementation testing.
Required Qualifications, Capabilities and Skills:
Strong software development and Python/C++ skills
Strong analytical and problem-solving abilities
Familiarity with probability theory, stochastic processes, and numerical analysis
Strong communication skills, both oral and written
PhD or equivalent in Mathematics, Math Finance, Physics, or other quantitative subject
At least 2+ years working experience, ideally in a front office environment
Preferred Qualifications, Capabilities and Skills:
Knowledge of financial products, from loans, repos and bonds to be structured and exotic deals
Knowledge of machine learning/statistical techniques
#J-18808-Ljbffr