The Institutional Buy Side SBU is responsible for the strategy, execution and development of products that establish FactSet as the premier technology partner for the Analytics investment community. The Buy Side Middle Office group provides a fully connected ecosystem, increases
operational efficiency and reduces total cost of ownership for our clients. The Middle Office group is looking for a talented and motivated individual to join a team of software engineers building, maintaining, and driving the effort to provide Portfolio Commentary in interactive and batched fashion across all client Portfolios.
The engineer will collaborate extensively with Product Management and alongside other engineers within the PAR engineering team. They will also work with Machine Learning, DMW, PIE, and other teams to integrate recommended technology and enhance best practices, while advocating for and furthering GenAI requirements for PA3 and other PAR applications and processes.
Initially, this position will be a Senior Full Stack Engineering role, reporting directly to the Director of Performance, Attribution, and Returns Engineering.
Responsibilities
Design, implement, test, document, maintain, and enhance high-quality code
Collaborate with other engineers, product developers and strategists to brainstorm ideas, implement prototypes and gather feedback.
Follow best practices such as code reviews, testing, documentation, and version control.
Provide technical support and troubleshooting.
Set milestones for self and reporting on the progress and evolution of tasks and projects
Collaborate with other engineering leaders to build best-in-class products and services
Balance and accelerate work towards technical debt reduction while delivering client-facing products
Work closely with PD and stakeholders to identify and prioritize work which provides the greatest value, both immediate and long-term
Minimum Requirements:
6+ years FactSet or industry experience in software engineering or a related field
Proficiency with Go and protobuf for minimum of 1+ years
1+ years experience using LLMs and with prompt engineering, databricks, and MLFlow
Critical Skills:
Experience writing web services
Experience with Agile development
Preferred Skills:
Knowledge of Portfolio Analysis and attribution models
Experience with web, including , Vue, and AngularJS
Education:
Bachelor’s degree, or higher (concentration in Computer Science or related major preferred)
The budgeted salary range for this position in the states of California, Connecticut and New York is $142,000. - 185,000.00
At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify
FactSet is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity
