Position Description:

Develops and supports performance attribution calculation engines using FAME Time Series Database, Perl and Python data loaders, Java Application Programming Interfaces (APIs), and Angular User interfaces. Develops and supports reports, data extraction processes, portfolio, reference, and market data loaders. Creates and sustains attribution analysis tool kits to assist with ad hoc reporting for quantitative analysts and senior investment management. Liaises with performance attribution business analysts in the design, development, and implementation of creative solutions to complex business problems. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Participates in architecture design discussions. 

• Defines and implements application-level architecture.

• Develops applications on complex projects, components, and subsystems for the division.

• Recommends development testing tools and methodologies and reviews and validates test plans.

• Responsible for QA readiness of software deliverables.

• Develops comprehensive documentation for multiple applications or subsystems.

• Establishes full project life cycle plans for complex projects across multiple platforms.

• Responsible for meeting project goals on-time and on-budget.

• Advises on risk assessment and risk management strategies for projects.

• Plans and coordinates project schedules and assignments for multiple projects.

• Acts as a primary liaison for business units to resolve various project/technology issues.

• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.

• Advises senior management on technical strategy.

• Mentors junior team members.

• Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives. 

• Develops original and creative technical solutions toon-going development efforts.

• Collaborates in cross-organizational development initiatives.

• Address impromptu research and data inquiries to bolster performance attribution analysis.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as Principal Software Engineer/Developer (or closely related occupation) developing software applications for mutual fund accounting, pricing, portfolio reference, security reference, Index, Investment Performance, and Risk and Attribution, within a financial services environment.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) developing software applications for mutual fund accounting, pricing, portfolio reference, security reference, Index, Investment Performance, and Risk and Attribution, within a financial services environment.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) developing financial data loader and calculation applications, index data loaders, Security and Portfolio characteristics loaders, and calculation engines, using FAME DB, FAME 4GL, Perl, and Linux.

• DE developing full stack applications using Java Spring Boot, Angular, Oracle, and deployed Amazon Web Services (AWS) EKS.

• DE rewriting legacy investment analytics application using FAME DB, FAME 4GL, Perl, Linux, Java Spring Boot, Angular, Oracle, and deployed AWS EKS.

• DE developing REST APIs for large scale financial applications (1 million+ financial data points) using Java Spring Boot, Angular, Oracle, and deployed AWS EKS.

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