About the Role:

We are seeking a highly skilled Quantitative Researcher to join our growing team. The ideal candidate will have a strong foundation in statistical analysis, mathematical modeling, and programming, with a passion for leveraging data to drive strategic decision-making and innovation.

As a Quantitative Researcher, you will collaborate closely with data scientists, engineers, and business strategists to design and implement models that provide actionable insights and enhance performance across various projects.

Key Responsibilities:

Develop, implement, and optimize quantitative models using large datasets.

Conduct statistical analyses, simulations, and predictive modeling.

Perform research and backtesting of new strategies and methodologies.

Communicate findings and recommendations to both technical and non-technical stakeholders.

Collaborate with cross-functional teams to translate data insights into actionable business strategies.

Stay current with industry trends, emerging technologies, and academic research relevant to quantitative finance and data science.

Qualifications:

Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or a related field.

Strong programming skills in Python, R, MATLAB, or C++.

Experience with data analysis, machine learning, and statistical modeling.

Proficiency in handling large datasets and working with SQL or similar database systems.

Excellent analytical, problem-solving, and communication skills.

Prior experience in finance, trading, or research environments is preferred but not required.

Compensation & Benefits:

Salary: $175,000 – $190,000 per year (based on experience and qualifications)

Benefits Include:

401(k) with company match

Health Insurance

Dental and Vision Insurance

Life Insurance

Paid Time Off and Flexible Scheduling Options

Hybrid and Remote Work Opportunities

Work Schedule:

Full-Time and Part-Time positions available

Hybrid or Remote work options within the United States

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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