Job Location : New York,NY, USA
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 DescriptionOur 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 DoSupport 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.
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.
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.
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.
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