Scsfinancial

Quantitative Investment Analyst

Boston, MA

Sponsorship not specified$150k-$250kDetected 63 days ago

Code ReviewGitSnowflakeVector DatabasesAWSAzureCloud PlatformsMachine LearningData EngineeringData ScienceData VisualizationLLMsRAGStatisticsResearchCommunicationUnderwriting

About the role

This is a hybrid role that blends investment domain knowledge with data science and applied AI, offering an opportunity to help shape the evolution of our investment platform.
Analyze large and complex datasets to identify trends, behavioral patterns, performance drivers, and other insights that can inform investment decision-making.

Responsibilities

Partner with senior investment professionals and other colleagues to translate strategic priorities into practical analytical solutions, workflow enhancements, and automation opportunities.
Support the Investment team in monitoring existing investments and underwriting new opportunities, including internal discussions related to portfolio construction, performance, and risk.
Build and maintain scalable data pipelines and workflows to support reliable data ingestion, transformation, and quality across investment, portfolio, and client datasets.
Help develop and enhance the firm's investment data layer, with a focus on making information more structured, accessible, and actionable across asset classes and investment processes.
Maintain strong documentation and adhere to appropriate data governance, control, and compliance standards consistent with industry best practices.
Design, validate, and operationalize analytical models and AI-enabled tools to support areas such as asset allocation, manager research, portfolio monitoring, and risk assessment.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Finance, or a quantitative field.
Three or more years of relevant experience in data science, analytics, investment research, or a related role, ideally within financial services, asset management, or wealth management.
Experience using Git and GitHub for version control, collaborative development, code reviews, and managing production-grade analytical or quantitative applications.
Experience working with modern data infrastructure, including Snowflake or similar environments.
Excellent communication skills and the ability to explain complex analyses and technical concepts clearly.
Experience with business intelligence and data visualization platforms such as Power BI.
Familiarity with cloud environments such as AWS, Azure, or GCP.
Experience with agentic workflows using tools such as Copilot Studio or Claude.
Familiarity with modern LLM ecosystems and related concepts such as retrieval-augmented generation (RAG), vector databases, agent frameworks, or tool/function calling.
Required
Strong programming skills with experience building analytical workflows, models, and data pipelines.
Solid understanding of financial markets, portfolio construction, investment performance, and risk concepts.
Preferred
Experience applying machine learning or AI tools in production or business workflows.

Nice to have

Exposure to investment manager research, underwriting, or portfolio analytics is a plus.

Compensation

The annualized base pay range for this role is expected to be between $150,000–$250,000 base salary compensation range.

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