Lead the development of calculation engines for indices, trading strategies, and risk management tools while collaborating with trading teams and implementing systematic trading strategies.
Job Description
DESCRIPTION:
Duties: Lead the implementation and development of official calculation engine for Investable Indices, risk-premia strategies, alpha, beta, and flexible indices (client-driven). Develop and support the risk management platform used by traders to hedge indices traded with clients. Develop trading hedging strategies for illiquid trading risks. Develop stochastic models to price and risk manage the index linked derivative instruments. Develop descriptive analytics for client positions reporting. Work closely with the structuring and trading teams, and participate in the development of JPMorgan branded systematic trading strategies. Utilize Python to develop within J.P. Morgan's technology platforms.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Computational Finance, Mathematical Finance, Mathematics, or related field of study plus 5 years of experience in the job offered or as Quantitative Research Associate/Specialist, Financial Consultant, or related occupation. The employer will alternatively accept a PhD in Computational Finance, Mathematical Finance, Mathematics, or related field of study plus 3 years of experience in the job offered or as Quantitative Research Associate/Specialist, Financial Consultant, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: Systematic trading strategies or Quantitative investment strategies, including backtesting, implementation of stress and market disruption events handling; Cross asset exposure, including equities, rates, credit, commodities, and FX; Stochastic derivative pricing models, including development, pricing, risk, implementation and documentation for model review (including optimization, numerical methods and time series analysis); Risk management including exploration of portfolio risk mitigation measures, implementation and communication with stakeholders about technical and risk issues; Developing financial software in python; NumPy; SciPy; Pandas; Version control; Optimization software including linear programming, convex optimization and stochastic optimization packages; Data structures in python including hashmaps, trees, arrays, dataframes and databases; and Algorithms including Markowitz optimization, dynamic programming, Principal Components Analysis, linear/logistic regression, Monte Carlo, Markov Chains and Matrix Factorization.
Job Location: 383 Madison Avenue, New York, NY 10179.
Full-Time. Salary: $205,000 - $285,000 per year.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
DESCRIPTION:
Duties: Lead the implementation and development of official calculation engine for Investable Indices, risk-premia strategies, alpha, beta, and flexible indices (client-driven). Develop and support the risk management platform used by traders to hedge indices traded with clients. Develop trading hedging strategies for illiquid trading risks. Develop stochastic models to price and risk manage the index linked derivative instruments. Develop descriptive analytics for client positions reporting. Work closely with the structuring and trading teams, and participate in the development of JPMorgan branded systematic trading strategies. Utilize Python to develop within J.P. Morgan's technology platforms.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Computational Finance, Mathematical Finance, Mathematics, or related field of study plus 5 years of experience in the job offered or as Quantitative Research Associate/Specialist, Financial Consultant, or related occupation. The employer will alternatively accept a PhD in Computational Finance, Mathematical Finance, Mathematics, or related field of study plus 3 years of experience in the job offered or as Quantitative Research Associate/Specialist, Financial Consultant, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: Systematic trading strategies or Quantitative investment strategies, including backtesting, implementation of stress and market disruption events handling; Cross asset exposure, including equities, rates, credit, commodities, and FX; Stochastic derivative pricing models, including development, pricing, risk, implementation and documentation for model review (including optimization, numerical methods and time series analysis); Risk management including exploration of portfolio risk mitigation measures, implementation and communication with stakeholders about technical and risk issues; Developing financial software in python; NumPy; SciPy; Pandas; Version control; Optimization software including linear programming, convex optimization and stochastic optimization packages; Data structures in python including hashmaps, trees, arrays, dataframes and databases; and Algorithms including Markowitz optimization, dynamic programming, Principal Components Analysis, linear/logistic regression, Monte Carlo, Markov Chains and Matrix Factorization.
Job Location: 383 Madison Avenue, New York, NY 10179.
Full-Time. Salary: $205,000 - $285,000 per year.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Top Skills
Convex Optimization
Linear Programming
Numpy
Pandas
Python
Scipy
Stochastic Optimization
Version Control
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