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Confidential · 2 days ago

Quantitative Analyst

NYC Metro Area

Full-time

Hybrid

Mid, Senior Level

2+ years exp

Confidential company is seeking a Quantitative Analyst to design and maintain their core research and trading platform. The role involves developing back-testing frameworks, engineering data pipelines, and building analytics tools to enhance investment strategies and portfolio management.

Marketing & Advertising

Hiring Manager

Anu Kalra

Responsibilities

Design, implement, and maintain the team’s core research and trading platform, enabling scalable development of systematic and discretionary strategies

Develop high-performance back-testing and simulation frameworks to evaluate investment hypotheses, strategy performance, and portfolio construction approaches

Engineer robust data pipelines to integrate, clean, and manage market, factor, and alternative datasets

Partner with Technology and central Quant Engineering to align investment team infrastructure with firmwide standards and shared systems

Build visualization and analytics tools to present real-time portfolio metrics, risk exposures, and performance attribution in intuitive, interactive formats

Enhance portfolio construction and optimization frameworks, supporting both systematic and hybrid investment approaches

Champion engineering best practices, including modular architecture, rigorous testing, version control, and continuous integration — ensuring infrastructure is reliable, maintainable, and production-grade

Qualification

PythonQuantitative research frameworksPortfolio optimizationData science toolsInvestment data structuresProactive attitudeCommunication skillsAttention to detail

Required

Advanced degree (MS or PhD) in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field

2-15 years experience implementing code in production platforms within a front-office quant or investment team environment

Expert-level proficiency in Python, with demonstrated experience building quantitative research frameworks, data pipelines, and performance-sensitive analytics

Strong understanding of investment data structures, including time series, tick-level, and corporate action data

Experience in signal research, alpha modeling, and back-testing, with practical understanding of portfolio optimization and risk modelling

Deep familiarity with data science and ML tools (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and software engineering practices (Git, CI/CD, testing frameworks)

Excellent communication and collaboration skills, capable of operating within a flat, fast-paced investment environment

High attention to detail and a commitment to code quality, reliability, and production-readiness

Proactive, and delivery-oriented, with a passion for building systems that directly drive investment performance

Company

Confidential

Silicon Valley, California US, US

51-200 employees

Funding

Current Stage

Growth Stage

Leadership Team

Roshan Syed

Global Talent Partner

Company data provided by crunchbase