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DriveWealth

Quantitative Analyst

Sorry, this job was removed at 08:01 p.m. (EST) on Wednesday, Jul 09, 2025
Easy Apply
Hybrid
New York, NY, USA
125K-127K Annually
Easy Apply
Hybrid
New York, NY, USA
125K-127K Annually

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DriveWealth is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices.

Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

We seek enthusiastic professionals to contribute diverse perspectives and experiences to our Brokerage-as-a-Service platform. Our culture blends the pace and opportunity of a tech start-up with the impact, stability, and significance of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. We value diversity and inclusion, celebrating the unique differences of our employees as we scale and grow together. We’re guided by operating principles grounded in accountability, teamwork, integrity, and solutions built to scale. Join us!

What You'll Do

Research and develop financial quantitative analysis techniques to optimize instruments for securities/equities trading by applying knowledge in algorithmic
trading, regression analysis, asset pricing, and Bayesian Statistical Inference and Machine Learning

Process and analyze stock market quote and execution data to identify trading patterns using regression analysis, Bootstrap Aggregating, factor analysis, and Mathematical Market Microstructure

Develop new quantitative trading strategies and optimize trading parameters to improve Pnl risk-reward, trade volume, trade execution algorithms, trade sizing
algorithms, volatility modeling, and risk management using Object-oriented Design/Python programming

Analyze securities trading order flow data to identify order characteristics with slow spread decay using data mining, statistical analysis, and data visualization; Manage quantitative trading projects through a full lifecycle, from initial research to final production quality implementation.

What You'll Need

Must have a Master’s Degree in Financial Mathematics, Applied Mathematics, or Statistics 
Skills and knowledge of Algorithmic Trading, Regression Analysis, Bayesian Statistical Inference and Machine Learning, Quantitative Trading Strategy, Object-oriented Design/Python,
Mathematical Market Microstructure.

Please send rés w/code YUF002 to HR, Drivewealth Technologies, LLC., 28 Liberty Street, Floor 50, New York, NY 10005.

Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note
: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.

New York, NY (Hybrid) Pay Range
$125,000$127,000 USD

Benefits

  • Competitive medical, dental, and vision insurance options
  • Mental health resources 
  • Generous paid time off with observed holidays (varies per country)
  • Paid parental leave for biological and adoptive parents
  • Up to $2,500 or local equivalent each year to invest in continued education and personal development
  • Up to $900 each year or local equivalent for fitness and wellness reimbursement
  • Company-provided phone (varies by country)
  • Hybrid work experience that allows for flexibility
  • For HQ in-office employees, a daily lunch stipend, unlimited snacks, and engaging office space in the Financial District
  • Pre-tax commuter benefits (US only)
  • Employer 401K match (US only)

Benefit offerings vary based on country and are subject to change. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

TO ALL AGENCIES: Please, no phone calls or emails to any employee of DriveWealth outside of the Talent organization. DriveWealth’s policy is to only accept resumes from agencies via Greenhouse (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of DriveWealth. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

HQ

DriveWealth Jersey City, New Jersey, USA Office

Located right across the water from NYC's financial district, our technology office is only one stop away from Manhattan.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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