Embedded within quantitative research teams and partner with investment teams on projects including portfolio construction, risk management, and alpha research
Contribute to build high quality, robust, and efficient analytical software solutions to improve investment processes
Develop, run, and support various Quantitative Tools in cloud environment and communicate with customers
Lead/own one or more modules of a research project through the entire software development lifecycle applying a full-stack implementation
Add scale, reliability, and repeatability to research through software development standard methodologies
Assist Research teams in developing new models and products
Apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions
Collaborate with multiple partners and adapt to fast paced competing requirements
Requirements
Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
5+ years of experience in complex software development and working with investment professionals
Good understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Technical debt, Scope, estimation, quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
Experience on Analytical/Software Engineering skills including Python, Shell Scripts, Java, SQL and Linux
Experience in implementation of a research project through the entire software development lifecycle applying a full-stack implementation
Experience with AWS cloud environment development and deployment is a plus
Good understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis
Good experience in either equities, fixed income, or alternative asset classes
Consistent track record in hands-on ‘development’ of complex software solutions
Ability to effectively connect with multiple partners, including fundamental and quantitative researchers, divisional partners
Thrive in working with fast paced competing requirements and effectively delivering business needs
Benefits
comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
potential bonus or other variable compensation (depending on position and eligibility)
ATS Keywords
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