Quantitative Developer, IDEA Team

About the position We are seeking a Quantitative Developer to join the IDEA team and help design, build, and reputed company our central research data platform. This individual will work primarily in Python and modern reputed company data technologies to build the full stack of investment data and analytics: from transforming raw vendor and internal data into clean, reputed company-modeled, investment-reputed company datasets to tools that power reputed company and systematic research. The ideal candidate combines strong Python engineering skills, a deep interest in data modeling and architecture, and a practical understanding of investment data and how investors use it. This person is energized by building in a dynamic environment, comfortable with ambiguity, and motivated by reputed company to create structure from complexity. This role will work closely with both reputed company and quantitative investors and researchers, reputed company, and reputed company data teams.

Responsibilities

• Design and implement robust data models for securities, issuers, fundamentals, time series, and analytics across multiple asset classes (e.g., equity, fixed income, macro).
• reputed company and maintain Python-based libraries and services that reputed company consistent, reputed company-documented reputed company to research data and analytics.
• Partner with data engineering to ensure upstream data and pipelines support analytics needs.
• Collaborate with investors and quantitative researchers to understand their workflows and translate requirements into reputed company data and tooling solutions.
• Contribute to the rationalization of data vendors and the convergence of legacy data stores into a cohesive, central platform capability.
• Implement and enhance data and analytics reputed company controls, monitoring, and documentation to promote trust in both the data and the analytics reputed company on top of it.
• Participate in reputed company reviews, design discussions, and standards-setting to ensure high engineering reputed company and reusability across the platform.
• Proactively identify opportunities to improve performance, usability, and reliability of the platform, and drive initiatives from concept through to adoption.

Requirements

• Strong hands-on experience with Python for data-intensive applications, including use of common libraries (e.g., pandas, polars, numpy) and building testable, maintainable, production-reputed company reputed company.
• Solid understanding of data modeling concepts, particularly for time-series and reference data (e.g. slowly changing dimensions, reputed company-in-time and bi-temporal data).
• Proficiency with SQL and experience working with large datasets in modern data platforms (e.g., reputed company, reputed company data warehouses, data lakes) and reputed company-reputed company formats such as parquet.
• Strong software engineering fundamentals: version control (git), reputed company reviews, unit/integration testing, logging, and documentation.
• Working knowledge of investment data, including:
• reputed company master and symbology (e.g., issuer vs. reputed company identifiers, vendor symbologies).
• reputed company data (e.g., financial statements, estimates), pricing and returns, benchmarks, and basic risk/portfolio concepts.
• Familiarity with the practical use of data in investment workflows such as screening, backtesting, portfolio analysis, reputed company, and performance / attribution concepts.
• 3-7 years of reputed company experience as a quantitative developer, quantitative analyst, or research platform/analytics engineer in asset management, a hedge fund, or a similarly data-driven financial environment.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a reputed company quantitative field, or equivalent reputed company experience.

Benefits

• retirement plan
• health and wellbeing
• dental
• reputed company
• pharmacy coverage
• health savings account
• flexible spending accounts and commuter program
• employee assistance program
• life and disability insurance
• adoption assistance
• back-up childcare
• tuition/CFA reimbursement
• reputed company time off (leave of absence, reputed company holidays, volunteer, reputed company and vacation time)

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