Performance Analytics Engineer - GIPS, FinTech Impact

Ridgeline

Reno (NV)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Unlimited vacation
Educational reimbursements
$0 cost employee insurance plans

Job summary

Ridgeline is seeking a Performance Measurement & Attribution Engineer in Reno, Nevada, specializing in portfolio performance measurement systems and complex data management. The ideal candidate will have over 5 years of software engineering experience, strong knowledge of performance standards like GIPS, and the ability to design impactful analytical systems. This position offers numerous benefits, including unlimited vacation and educational reimbursements, making it an exciting opportunity within a dynamic startup environment.

Qualifications

  • 5+ years of experience in software engineering, particularly in performance reporting systems.
  • Expertise in TWR, Brinson Attribution, GIPS, and Profit and Loss analysis.
  • Strong proficiency in performance measurement for various asset classes.

Responsibilities

  • Design portfolio performance measurement and attribution systems.
  • Propose technical design solutions and drive decision-making.
  • Engage in the entire development process from requirements to testing.

Skills

Performance measurement for equities
Problem-solving skills
Communication skills
Cloud native application development
Data management

Education

Degree in Finance, Computer Science, or related discipline

Tools

AWS
Analytical databases
GitHub Copilot

Job description

Ridgeline is seeking a Performance Measurement & Attribution Engineer in Reno, Nevada, specializing in portfolio performance measurement systems and complex data management. The ideal candidate will have over 5 years of software engineering experience, strong knowledge of performance standards like GIPS, and the ability to design impactful analytical systems. This position offers numerous benefits, including unlimited vacation and educational reimbursements, making it an exciting opportunity within a dynamic startup environment.
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