Inspire
We are seeking a highly skilled
Quantitative Researcher
to join our growing financial analytics team. The ideal candidate will have a strong foundation in statistical analysis, mathematical modeling, and programming, and 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 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)
401(k) with company match
Health, dental, and vision insurance
Life insurance
Paid Time Off and flexible scheduling options
Hybrid and remote work opportunities within the United States
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.
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Quantitative Researcher
to join our growing financial analytics team. The ideal candidate will have a strong foundation in statistical analysis, mathematical modeling, and programming, and 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 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)
401(k) with company match
Health, dental, and vision insurance
Life insurance
Paid Time Off and flexible scheduling options
Hybrid and remote work opportunities within the United States
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.
#J-18808-Ljbffr