Asset Management- Equities Quantitative Developer - Vice President​/Associate

Role Summary

The Quantitative Developer/Engineer is expected to design, develop, deploy and operate innovative data pipelines and quant applications to impact the team’s alpha generation for asset management clients. You will help implement the research agenda of the U.S. Disciplined Core Equity group and enhance the production processes. The developer will also work on research projects in partnership with other researchers.

• Lead the management of production processes and daily communication with technology team to ensure production pipeline is functioning as expected
• Translate research models into production processes
• Automate generation of reports for portfolio managers
• Enhance the efficiency of the research processes such as improving alpha model estimation and optimized backtesting pipeline
• Onboard new data sets and conduct exploratory analysis and manage existing data sets used in research
• Lead development of highly sophisticated end-to-end ML pipelines in research, which can be deployed in production environment easily
• Conduct research projects in quantitative equity investment

• 3+ years of experience in relevant fields
• Degrees in Computer Science or Engineering
• Proficiency in Python programming, including familiarity with multithreading and multiprocessing; database management experience across SQL, No
  
  SQL, and Snowflake; familiarity with ETL pipelines; and experience architecting applications within AWS
• Familiarity with Git-based version control and collaborative software development workflows
• Experience with Airflow or similar workflow orchestration tools for production data pipelines
• Statistics and finance knowledge, especially within equity asset management, quantitative equity investing, or portfolio construction
• Good communication and project management skills
• Experience in building sophisticated automated processes and technology infrastructure

• Experience with tax-aware long-short optimizations and implementation
• Experience with vendor optimization platforms and packages, such as MSCI Barra Open Optimizer, for portfolio construction, tax optimization, and optimization workflows
• Experience in designing processes used in financial services
• Knowledge of Machine Learning, Natural Language Processing, and other unstructured data
• Experience in building pipelines for ML inference based on text, time series or financial data
• Familiarity with statistical packages such as Matlab

JPMorgan

Chase, 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.

Additional details about total compensation and benefits will be provided during the hiring process.

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching
• more

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…