Inspire
About the Role
We are seeking a highly skilled Quantitative Researcher to join our growing team. The ideal candidate has a strong foundation in statistical analysis, mathematical modeling, and programming, with a passion for leveraging data to drive strategic decision-making and innovation.
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.
Seniority level Not Applicable
Employment type Part-time
Job function Finance and Sales
Industries Restaurants
#J-18808-Ljbffr
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.
Seniority level Not Applicable
Employment type Part-time
Job function Finance and Sales
Industries Restaurants
#J-18808-Ljbffr