Quantitative Analyst

DriveWealth; New York (NY); Hybrid; USD 125,000 - 127,000; Full time

Job summary

A leading financial technology company is seeking a financial analyst to optimize trading strategies and develop quantitative analysis techniques. The role involves applying mathematical and programming skills to enhance trading algorithms. Candidates should hold a Master’s degree and have experience in algorithmic trading.

Benefits

Competitive medical, dental, and vision insurance options

Mental health and family planning services

Unlimited paid time off with ten observed holidays

16 weeks of paid parental leave for biological and adoptive parents

Pre-tax commuter benefits

$2,500 each year for continued education and personal development

$75 a month for fitness and wellness reimbursement

Company-provided phone

Engaging office space with daily lunch stipend and snacks

Qualifications

• Master’s degree required.
• Strong knowledge in algorithmic trading and statistical analysis.
• Experience with Python and quantitative trading strategies.

Responsibilities

• Research and develop financial quantitative analysis techniques.
• Optimize trading parameters to improve PnL and risk management.
• Analyze securities trading order flow data.

Skills

Algorithmic Trading

Regression Analysis

Bayesian Statistical Inference

Machine Learning

Object-oriented Design/Python

Mathematical Market Microstructure

Education

Master’s Degree in Financial Mathematics, Applied Mathematics, or Statistics

Job description

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, 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, 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.

Location: New York, NY (Hybrid)

Pay Range: $125,000 — $127,000 USD

Benefits

• Competitive medical, dental, and vision insurance options
• Mental health and family planning services
• Unlimited paid time off with ten observed holidays
• 16 weeks of paid parental leave for biological and adoptive parents
• Pre-tax commuter benefits
• $2,500 each year to invest in continued education and personal development
• $75 a month in fitness and wellness reimbursement
• Company-provided phone
• Hybrid work experience that allows for flexibility
• In-office employees enjoy a daily lunch stipend, unlimited snacks, and engaging office space in the Financial District

The benefits outlined above are for US-based employees; benefit offerings vary based on location.

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 provide reasonable accommodations for individuals with disabilities during the application and employment process. Please contact us to request accommodation.

TO ALL AGENCIES: Please, no phone calls or emails to any employee outside of the Talent organization. DriveWealth only accepts resumes from agencies via Greenhouse (ATS). Agencies must have a valid services agreement and be assigned by the Talent team to a specific requisition. Resumes submitted outside this process will be deemed the property of DriveWealth. No fee will be paid for candidates submitted outside this policy if hired.