The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance.
We are in search of a passionate engineer to take on a critical role in evolving our next generation performance & analytics platform, aiming to set a new industry standard in this domain. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change.
The impact you will make:- Contribute design skills and technical expertise to a team where design, strategy, and engineering collaborate closely
- Be involved in the entire software development process, from requirements and design reviews through implementation
- Impact a developing tech stack based on AWS back-end services
- Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses
- Think creatively, own problems, seek solutions, and communicate clearly along the way
- Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency
What we look for:- 8+ years in a software engineering position with a history of architecting and designing new products and technologies
- Experience with Kotlin or similar programming languages
- Familiarity working with OLAP or Columnar databases, with the capability to optimize queries
- Understanding of data modeling for analytical use cases
- Interest in running complex analytics over a large scale of data quickly
- Experience building cloud native applications on AWS/Azure/Google Cloud
- A degree in Computer Science, Information Science, or a related discipline
- Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space
- Understand the value of automated tests at all levels
- Ability to focus on short-term deliverables while maintaining a big-picture long term perspective
- An aptitude for complex problem-solving
- Ability to communicate with colleagues at all levels
- Serious interest in having fun at work
Bonus:- Buy-side technology experience
- Experience with GitHub Copilot or ChatGPT
- Experience with ETL Pipelines that move data into OLAP systems
- Familiar with performance concepts and methodologies: TWR, Brinson Attribution, Profit and Loss
Compensation and Benefits The typical starting salary range for this role is: $200,500-$251,000.
Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.
As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.
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