Data Scientist

$155,000 - $155,000/Yr

JPMorgan Chase - New York, NY

Full-time

Remote - New York, NY

Credit Intermediation and Related Activities

About the position

As a Data Scientist at JPMC, you will play a pivotal role in enhancing the investment process through the development and support of advanced quantitative tools. Your primary responsibilities will include conducting in-depth research and performing ad-hoc analyses focused on performance attribution, risk management, and portfolio construction. You will utilize a variety of quantitative techniques, such as multivariate regression, back-testing, optimization, and Monte Carlo simulation, to interpret statistical trends and provide actionable insights. In this role, you will collaborate closely with portfolio managers and other business partners to address challenges that arise during the daily portfolio management process and the launch of new products. You will also assist colleagues in understanding and utilizing the models and assumptions developed by your team. Additionally, you will work alongside technology partners to implement these models effectively, ensuring they meet the necessary risk and review requirements. Your expertise will be crucial in supporting the investment strategies of JPMC, and you will be expected to stay abreast of the latest developments in quantitative finance and data analysis. This position offers the opportunity to work in a dynamic environment where your contributions will directly impact the firm's investment decisions.

Responsibilities

• Develop and support a variety of cutting-edge quantitative tools to enhance JPMC's investment process.
• Conduct research and ad-hoc analysis on performance attribution, risk management, and portfolio construction.
• Perform analysis and interpret statistical trends using quantitative techniques including multivariate regression, back-testing, optimization, and Monte Carlo simulation.
• Assist colleagues in meeting risk and review requirements for all models and tools.
• Work closely with portfolio managers and other business partners to address issues arising from the daily portfolio management process and new product launches.
• Assist colleagues outside the team in their understanding and use of the team's models and assumptions.
• Collaborate with technology partners to implement the models.

Requirements

• Bachelor's degree in Financial Mathematics, Finance, Engineering (any), Economics, Statistics, Mathematics, or related field of study plus three (3) years of experience in the job offered or as a Data Scientist, Risk and Quantitative Analyst, Quantitative Modeler, or related occupation.
• Alternatively, a Master's degree in Financial Mathematics, Finance, Engineering (any), Economics, Statistics, Mathematics, or related field of study plus one (1) year of experience in the job offered or as a Data Scientist, Risk and Quantitative Analyst, Quantitative Modeler, or related occupation.
• Experience in Python and Matlab.
• Proficiency in statistics and econometrics and analyzing large data sets.
• Familiarity with databases and data query languages including SQL.
• Experience with dashboards, including Tableau or Pydash.
• Knowledge of market risk, including equity and fixed income risk management.
• Experience in risk modeling, including factor model approach.
• Understanding of performance attribution and portfolio construction.
• Familiarity with portfolio implementation vehicles, including mutual funds or ETFs.
• Experience with financial data sources including Bloomberg, Factset or Morningstar.

Benefits

• Telecommuting permitted up to 40% of the week.
• Competitive salary of $155,000 per year.