Quantitative Analytics Engineer - Pyton/SQL/Finance - Boston, MA

Job Description A leading investment-focused organization is seeking a Quantitative Analytics Engineer to join a growing analytics and technology team. This role is ideal for someone who combines strong quantitative and analytical thinking with practical software engineering skills, particularly in Python and SQL.
You will work at the intersection of data, analytics, and application development, helping to build and enhance a cloud-based analytics platform that supports investment decision-making. The role includes designing data-driven workflows, developing internal applications, building data pipelines, and partnering closely with business stakeholders to transform complex requirements into scalable solutions.
This position is well suited for a quantitative analyst who enjoys writing production-quality code, working with large datasets, and delivering tools that make sophisticated analysis accessible to end users. Required Skills & Experience

• 3+ years of professional experience in quantitative analysis, analytics engineering, software development, or a related field
• Strong Python experience developing production-quality applications, analytics solutions, or data platforms
• 3+ years of SQL experience, including complex queries and optimization against large datasets
• Experience working with data modeling, data management, and data warehouse concepts
• Experience building data-intensive applications or analytical platforms
• Strong analytical, problem-solving, and quantitative reasoning abilities
• Experience developing modern applications using TypeScript and/or React
• Familiarity with cloud platforms such as Azure or comparable environments
• Experience utilizing Git, CI/CD pipelines, and software development best practices
• Excellent communication and stakeholder collaboration skills

Desired Skills & Experience

• Experience with investment, financial, or quantitative analytics platforms
• Familiarity with messaging technologies such as Kafka, Azure Event Grid, or similar tools
• Experience building APIs and backend services
• Exposure to feature flagging, application observability, and monitoring practices
• Experience supporting cloud-native applications and distributed systems
• Interest in financial markets, investments, and data-driven decision making

What You Will Be Doing Daily Responsibilities

• Design and develop analytical applications, tools, and workflows used across the investment platform
• Build and maintain scalable Python-based services, APIs, and data processing solutions
• Develop complex SQL solutions to support reporting, analytics, and business processes
• Create and enhance data pipelines and system integrations
• Partner with business stakeholders to gather requirements and translate them into technical solutions
• Contribute to logical and physical data model design
• Support platform reliability through testing, CI/CD improvements, monitoring, and observability enhancements
• Participate in code reviews, technical documentation, and knowledge-sharing initiatives
• Troubleshoot production issues and drive continuous platform improvements
• Help shape the future architecture and capabilities of a cloud-based analytics ecosystem

The Offer

• Base salary: $160,000 - $165,000
• Eligible for discretionary annual bonus
• Hybrid work environment
• Opportunity to work on high-impact quantitative analytics initiatives
• Collaborative, engineering-driven culture with strong opportunities for growth

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.