RemoteQuantitative Researcher for residents of California + Transform Data into Impact

Join a cutting‑edge remote team where your analytical expertise drives real‑world business decisions. As a Quantitative Researcher, you’ll design sophisticated models, analyze large datasets, and deliver actionable insights—all from the comfort of your home.

About the Role

We are seeking a data‑driven thinker to lead quantitative research initiatives across our product and strategy divisions. In this fully remote position, you’ll collaborate with product managers, engineers, and senior leadership to translate complex data into predictive models, A/B test designs, and statistical forecasts that shape our growth trajectory. Your work will directly influence product features, pricing strategies, and market expansion plans, making your insights pivotal to the company’s success. You will also mentor junior analysts, publish research findings in internal knowledge bases, and contribute to cross‑functional machine learning pipelines.

Key Responsibilities

• Develop and validate advanced statistical models, including regression, time‑series, and machine learning algorithms.
• Analyze large‑scale structured and unstructured datasets to uncover trends, patterns, and opportunities.
• Design experiments and A/B tests, interpreting results to guide product decisions.
• Create clear, visual reports and dashboards that communicate findings to non‑technical stakeholders.
• Mentor junior analysts and contribute to best practices in data quality and methodology.
• Publish research findings in internal knowledge bases and present insights at industry webinars.
• Collaborate with cross‑functional teams to integrate quantitative insights into machine learning pipelines.

Requirements

Professional Qualifications

• Master’s or Ph.D. in Quantitative Finance, Statistics, Applied Mathematics, Computer Science, or a related field.
• 3+ years of experience in quantitative research, data analysis, or a similar role.
• Proficiency in Python (pandas, NumPy, scikit‑learn) and/or R, with strong SQL skills.
• Hands‑on experience with statistical modeling, hypothesis testing, and predictive analytics.
• Excellent communication skills, able to translate technical results into business language.
• Experience with big data technologies such as Apache Spark or Hadoop is preferred.
• Strong problem‑solving mindset and ability to work autonomously in a remote environment.

Technical Skills

• Advanced knowledge of statistical software (e.g., SAS, Stata) is a plus.
• Experience with cloud platforms (AWS, GCP, Azure) for large‑scale data processing.
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.

Benefits

Compensation & Perks

Salary Range: $55,000 – $85,000 USD/year, commensurate with experience and expertise.

Additional benefits include flexible work hours, generous paid time off, continuous learning stipend, health, dental, and vision insurance, a 401(k) match, an employee stock purchase plan, and a monthly wellness stipend.

Work Environment

Fully remote – work from anywhere within the United States. Receive a home‑office setup allowance, high‑speed internet reimbursement, and access to a collaborative virtual office space. Monthly virtual team‑building retreats and wellness activities promote work‑life balance.

Why Join Us?

Our company is recognized for its innovative approach to data‑driven decision making and a culture that values curiosity, autonomy, and impact. As a Remote Quantitative Researcher, you’ll enjoy a supportive leadership team, opportunities for professional growth, and the chance to shape the future of our industry from the comfort of your home.

If you thrive on turning data into strategic advantage and love solving complex problems remotely, we want to hear from you. Prepare your resume and a brief cover letter highlighting your most impactful quantitative projects, and we’ll get in touch.