Lead Software Engineer [Multiple Positions Available]

JPMorganChase•Jersey City, WA

1d•Onsite

About The Position

Lead the design, implementation, and validation of data pipelines, reporting solutions, and portfolio optimization processes to enhance systematic portfolio management. Drive cross-functional collaboration between business and technology stakeholders, define requirements, set priorities, and ensure delivery of high-quality solutions. Mentor team members, oversee best practices, and foster a culture of innovation and continuous improvement. Ensure alignment with organizational goals and regulatory standards while managing resources and project timelines. Oversee private and public cloud computing infrastructure, version control, software releases, and the development of reusable software development kits (SDKs) to improve software maintainability, scalability, and minimize operational risk. Represent the team in executive forums, communicate progress, and advocate for resources and support. Identify opportunities for automation, formulate innovative solutions, and supervise collaboration with internal teams and external vendors to improve the portfolio construction workflow. Lead a team responsible for developing and optimizing financial analytics and data processing workflows for securitized products. Lead the development and maintenance of systems for historical back testing of portfolio strategies, incorporating mean-variance analysis, advanced portfolio optimization techniques and performance evaluation. Support quantitative research by designing tailored back testing frameworks and optimization tools for financial model validation and strategy testing.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field of study.
6 years (72 months) of experience in the job offered or as Software Engineer, Programmer Analyst, or related occupation.
3 years of experience in designing and developing software solutions to support systematic portfolio management and optimization in financial services environments employing optimization solvers including Gurobi, MSCI Open Optimizer and Axioma, technologies including React, Java, JavaScript, Python, Relational, NoSQL and Object-Oriented Databases.
3 years of experience in analyzing Bloomberg, FactSet, MSCI and internally-sourced quantitative financial data to generate performance metrics and translate results into actionable insights for both technical and non-technical stakeholders.
3 years of experience in collaborating with quantitative researchers and portfolio managers to implement analytics, modeling frameworks, and investment strategy tools including asset correlation and covariance matrices, risk factor exposure, mean- variance and performance attribution analysis.
3 years of experience in developing financial applications using advanced Python programming, leveraging numerical and data analysis libraries including NumPy, pandas, and optimization libraries, Gurobi.
3 years of experience in building and maintaining RESTful APIs using Python web frameworks including Flask and FastAPI to support integration with investment platforms.
3 years of experience in using Jupyter Notebook for prototyping, visualization, and exploratory analysis of financial data and models.
3 years of experience in architecting and managing cloud-native solutions, including serverless computing with platforms AWS Lambda, Amazon SQS, and Microsoft Azure to support scalable application deployment.
3 years of experience in modernizing and automating ETL (Extract, Transform, Load) processes using tools including Apache Airflow for workflow orchestration and Docker for containerization and environment consistency.
3 years of experience in optimizing financial data querying and persistence across Apache Cassandra, Amazon S3, and MSSQL databases.
3 years of experience in improving code quality and reliability with software engineering practices of Test and Behavior Driven Development using behave and pytest-bdd.
3 years of experience in conducting unit testing using unittest and integration testing using pytest.
3 years of experience in utilizing parallel and asynchronous programming using asyncio and multiprocessing to speed up grid search hyperparameter tuning for optimization strategy back testing.
3 years of experience in conducting version releases using continuous integration and continuous delivery tools including Jenkins and Spinnaker.

Responsibilities

Lead the design, implementation, and validation of data pipelines, reporting solutions, and portfolio optimization processes to enhance systematic portfolio management.
Drive cross-functional collaboration between business and technology stakeholders, define requirements, set priorities, and ensure delivery of high-quality solutions.
Mentor team members, oversee best practices, and foster a culture of innovation and continuous improvement.
Ensure alignment with organizational goals and regulatory standards while managing resources and project timelines.
Oversee private and public cloud computing infrastructure, version control, software releases, and the development of reusable software development kits (SDKs) to improve software maintainability, scalability, and minimize operational risk.
Represent the team in executive forums, communicate progress, and advocate for resources and support.
Identify opportunities for automation, formulate innovative solutions, and supervise collaboration with internal teams and external vendors to improve the portfolio construction workflow.
Lead a team responsible for developing and optimizing financial analytics and data processing workflows for securitized products.
Lead the development and maintenance of systems for historical back testing of portfolio strategies, incorporating mean-variance analysis, advanced portfolio optimization techniques and performance evaluation.
Support quantitative research by designing tailored back testing frameworks and optimization tools for financial model validation and strategy testing.

Benefits

competitive total rewards package including base salary determined based on the role, experience, skill set, and location
discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions
a range of benefits and programs to meet employee needs, based on eligibility
comprehensive health care coverage
on-site health and wellness centers
a retirement savings plan
backup childcare
tuition reimbursement
mental health support
financial coaching