Staff Quantitative Researcher

Robinhood

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$217,000–$255,000 / yr
Posted
31 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $236k
$148k $276k
below market most similar roles pay here above market

This role pays more than 71% of similar roles. Most pay $175,337–$238,250 — the blue band above. At the midpoint, this role pays about $236k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 52 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 45 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Staff Quantitative Researcher

The Staff Quantitative Researcher joins the Investment Strategy team to help scale sophisticated investment advice into accessible tools for everyday customers. Reporting to the Chief Investment Officer, the researcher builds complex portfolio construction factor models, identifies methodology improvements, and designs high-performing investment solutions. Day-to-day responsibilities include working with large and unconventional datasets to predict statistical market patterns, conceptualizing valuation strategies, and backtesting financial models in live trading environments. The role requires collaborating with Product, Engineering, Compliance, and Legal teams to launch new features. Candidates must demonstrate proficiency in Python and SQL for quantitative modeling and statistical analysis. The position requires a strong grounding in machine learning algorithms, pattern recognition, and quantitative portfolio construction within the context of asset management or financial services.

What you'll do

  • Develop, refine, and maintain complex portfolio construction models in partnership with investment leadership.
  • Analyze large datasets and unconventional data sources to predict statistical market patterns and conceptualize valuation strategies.
  • Backtest and implement financial models and signals within a live trading environment.
  • Research and apply emerging quantitative finance principles and theories to inform investment decisions.
  • Partner with product and engineering teams to design and execute complex project launches.
  • Assist Legal and Compliance with developing written policies and procedures for new features and methodology changes.

What we're looking for

  • 5+ years of experience in quantitative research, quantitative portfolio construction, or machine learning.
  • Experience in asset management, a broker-dealer, an RIA, or broader financial services.
  • Experience taking machine learning models, research, or quantitative signals into a live investing or production environment.
  • Strong proficiency in Python and SQL for quantitative modeling and statistical analysis.
  • Strong grounding in statistics, machine learning algorithms, and pattern recognition.
  • Outstanding communication skills to translate complex modeling and investment concepts for non-technical partners.
  • Ability to work independently and deliver on critical business milestones in an ambiguous environment.
  • Must be able to work in-person at the New York, NY office at least 3 days per week.

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