Software Engineer

Company	JP Morgan Chase
Location	New York, NY, USA
Salary	$161300 – $215000
Type	Full-Time
Degrees	Master’s
Experience Level	Junior, Mid Level

Requirements

Master’s degree in Quantitative Finance, Computer Science, Computer Engineering, or related field of study
2 years of experience in the job offered or as Software Engineer, Financial Analyst, or related occupation
2 years of experience with C++ development
2 years of experience with Java development
2 years of experience with Python development
Experience with Python libraries, including SciPy, statsmodels, NumPy, and Pandas
Experience with Linux operating system
Experience with Windows operating system
Experience with MATLAB for quantitative data analysis and modeling
Experience with shell scripting
Experience with GIT for version control and code collaboration
Experience with relational databases including Oracle
Experience with SQL
Experience with data visualization tools including Tableau
Experience with web technologies including HTML, XML, and JSON
Experience with software development life cycle using Agile methodologies
Experience with microservices architecture
Experience with AWS Cloud Services
Experience with IaaS
Experience with containerization technologies including Docker
Experience with artificial intelligence and machine learning including large language models
Experience with Testing methodologies including Blackbox Testing, Functional Testing, Manual Testing, Regression Testing, System Integration Testing, Unit Testing, User Acceptance Testing, and White Box Testing
Experience with Monte Carlo simulation techniques
Experience with regression analysis
Experience with factor analysis
Experience with short-term and long-term financial risk predictions
Experience with portfolio optimization for asset and wealth management.

Responsibilities

Develop the firm’s analytical capabilities and model libraries to build financial products
Design, analyze, implement, monitor performance, and resolve production issues
Provide application and analytical support to researchers and portfolio managers
Research and develop analytical tools to address issues such as portfolio construction and optimization, performance measurement, attribution, profit and loss measurement, and risk models
Maintain and modify all financial analytic models in use
Apply mathematical and statistical techniques to address risk management, stress scenario analysis, and long term projected reports
Collaborate with quantitative research teams to validate and implement quantitative models for risk officers and portfolio managers
Devise and apply independent models and tools to verify the results of analytical systems.

Preferred Qualifications

No preferred qualifications provided.