The Fresh Market
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
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
#J-18808-Ljbffr
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
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
#J-18808-Ljbffr