Quantitative Investment Analyst - Recruiting from Scratch : Job Details

Quantitative Investment Analyst

Recruiting from Scratch

Job Location : New York,NY, USA

Posted on : 2025-08-10T01:13:13Z

Job Description :
Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client:

Title of Role: Quantitative Investment AnalystLocation: New York City (NYC)Company Stage of Funding: Series AOffice Type: Hybrid (minimum 4 days/week in-office)Salary: $130,000 - $200,000

Company Description

Our client is a mission-driven fintech startup backed by top-tier investors including a16z, Sequoia, and Neo. They recently raised a $30M Series A, marking one of the largest non-AI pure Series A rounds in the last year. The company is redefining how retail investors access institutional-grade quant strategies by building a regulated, tech-first investment platform with a broker-dealer subsidiary. This gives them a structural edge over competitors and positions them for sustainable long-term growth.

As their first investment team hire, you will work closely with a founder and quant PM formerly at Millennium, with a PhD in math/physics, who is hands-on and committed to mentorship. You'll play a critical role in building out investment infrastructure and strategies that power live customer portfolios.

What You Will Do
  • Support daily trading operations and monitor live investment portfolios.

  • Conduct quantitative research to drive strategy development and backtesting.

  • Collaborate with product, engineering, and compliance to translate investment ideas into scalable tools.

  • Analyze time-series and cross-sectional data using Python, with a focus on performance attribution and risk.

  • Participate in portfolio construction, optimization, and execution workflows.

  • Help build investment process foundations—including tooling, strategy evaluation, compliance workflows, and reporting.

Ideal Candidate Background
  • 3–6 years of experience in a quantitative finance or investment role at an asset manager, hedge fund, bank, or RIA.

  • Strong technical background with hands-on experience scripting/debugging in Python.

  • Familiarity with factor models, portfolio construction, and asset allocation techniques.

  • Exposure to live trading systems and supporting investment operations.

  • Bachelor's degree in a technical or quantitative field (e.g., Statistics, Computer Science, Financial Engineering, Math, or Physics).

  • Passion for financial markets and understanding of core investment principles.

  • Based in NYC and willing to be in-office at least 4 days per week.

Preferred
  • Proficiency in Python for data analysis, particularly with financial and time-series datasets.

  • Familiarity with SQL and C# (nice to have).

  • Understanding of RIA operations, broker-dealer workflows, and regulatory considerations.

  • Experience with financial data vendors (e.g., Bloomberg, FactSet, Refinitiv).

  • Strong written and verbal communication skills; capable of collaborating across investment, product, and engineering teams.

  • Comfortable operating in a fast-paced, Series A startup environment.

Compensation and Benefits
  • Competitive base salary ranging from $130,000 to $200,000.

  • Equity package within the top 75% percentile for companies at this stage.

  • H1B sponsorship available and open to visa transfers.

  • Access to one-on-one mentorship from a seasoned quant PM with deep industry experience.

  • Opportunity to shape the investment function from the ground up.

  • High-impact role with visibility across cross-functional teams.

  • Work alongside a nimble, ambitious team driven to democratize access to sophisticated investment strategies.

If you're excited about bridging investment research and technical execution in a cutting-edge fintech environment, this is a rare opportunity to make a tangible impact while learning from top talent.

#J-18808-Ljbffr
Apply Now!

Similar Jobs ( 0)