Staff Software Engineer, Performance and Analytics

Description

The Performance and Analytics team calculates, reports and presents performance and attribution metrics for investments, using modern OLAP and columnar technologies. The work covers returns, benchmark comparisons and the drivers behind performance.

The team is building the next generation of the performance and analytics platform, using AI and current development practices. The company is a growing provider of a public cloud platform built for investment management, and it has offices in Reno, New York, Lake Tahoe and the Bay Area.

This is an existing vacancy.

Responsibilities

• Bring design skills and technical depth to a team where design, strategy and engineering work side by side.
• Take part in the full development cycle, from requirements and design reviews through to implementation.
• Help shape a developing tech stack built on AWS back-end services.
• Help build developer automation that produces scalable, high-quality applications customers rely on to run their businesses.
• Approach problems creatively, take ownership, look for solutions and explain your thinking clearly.
• Help create an environment where people learn from one another, teach and stay open.

Requirements

• 8+ years in software engineering, including designing and architecting new products and technologies.
• Experience with Kotlin or a similar programming language.
• Working knowledge of OLAP or columnar databases, and the ability to tune queries.
• Understanding of data modeling for analytical use.
• Interest in running complex analytics on very large data sets quickly.
• Experience building cloud-native applications on AWS, Azure or Google Cloud.
• A degree in computer science, information science or a related field.
• Willingness to learn new technologies while building expertise in the business domain.
• Belief in automated tests at every level.
• Ability to deliver short-term results while keeping the long-term picture in view.
• Strong skills in solving complex problems.
• Ability to communicate with colleagues at every level.
• You want to enjoy your work.
• Bonus: experience in buy-side technology.
• Bonus: experience with GitHub Copilot or ChatGPT.
• Bonus: experience with ETL pipelines that load data into OLAP systems.
• Bonus: familiarity with performance concepts and methods, including TWR, Brinson Attribution and Profit and Loss.

Conditions

The typical starting salary range for this role is $200,500-$251,000.

Final pay depends on several factors, including candidate experience and expertise, and may differ from the range above.

The role is hybrid.

Equal opportunity: the company is a community-minded workplace that does not discriminate.

Benefits

• Every employee, at 100%, can join the Company Stock Plan, subject to the applicable Stock Option Agreement.
• Unlimited vacation, education and wellness reimbursements, and employee insurance plans at $0 cost.
• Many opportunities to advance your career and make a real impact on the product.
• The careers page has a fuller overview of perks and benefits.