Quantitative Researcher

WHO WE ARE

Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. 

Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila.

If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. 

AFS has received a number of prestigious industry awards, including:

• 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards

• 2021 Most Innovative Companies - presented by Fast Company

• 2021 Best API & Best Trading Technology - presented by Global Fintech Awards

ABOUT THIS ROLE

Apex Fintech Solutions is looking for a data-driven, intellectually curious Quantitative Researcher to develop and implement models that drive alpha generation, risk management, and portfolio construction. You’ll work alongside portfolio managers, engineers, and strategists to turn theory into real-world results.

Duties/Responsibilities

• Develop and backtest predictive models using statistical, econometric, and machine learning techniques
• Analyze large, high-dimensional datasets to extract actionable insights
• Contribute to signal research, factor modeling, and portfolio optimization frameworks
• Collaborate with engineering teams to productionize models and ensure robust performance
• Continuously refine strategies based on market dynamics and performance feedback

Education and/or Experience

• Bachelor's/Master's degree in Applied Mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative field (or equivalent work experience) required
• 3+ years of prior work experience
• Experience with alternative data or machine learning for financial applications preferred
• Exposure to portfolio theory, optimization, and risk modeling preferred

Required Skills/Abilities

• Strong programming skills in Python (preferred)
• Solid understanding of probability, statistics, and linear algebra
• Experience with financial data, markets, or asset pricing models a plus
• Familiarity with tools like pandas, NumPy, Pyomo, or SQL
• Understanding of execution algorithms and market microstructure

Work Environment

• This job operates in a hybrid, office environment 3 days per week

#engineering #associate #full-time #LI-MJ1 #APEX

​Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Rewards

We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS , we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.

Salary Range

$116,000-$145,000

The annual base salary range for this position is noted above. Exact compensation offered may vary depending on job-related knowledge, skills, experience, and office location.

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