Bausch-White Masonry, LLC
We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic team. The Quantitative Researcher will be responsible for designing and implementing quantitative models analyzing complex datasets and generating actionable insights to support strategic business decisions. The ideal candidate will have a strong background in statistical analysis programming and financial modeling along with excellent communication skills.
Key Responsibilities
Develop test and implement quantitative models for data analysis and forecasting.
Analyze large and complex datasets using statistical techniques and programming languages (such as Python, R or MATLAB).
Collaborate with cross-functional teams to define research goals and deliver actionable insights.
Present research findings and recommendations to technical and non-technical stakeholders.
Stay abreast of industry trends, research methodologies and technological advancements.
Prepare comprehensive reports, whitepapers and presentations based on research outcomes.
Ensure data integrity and compliance with company and regulatory standards.
Qualifications
Masters or Ph.D. in Quantitative Finance, Statistics, Mathematics, Computer Science, Economics or a related field.
Proven experience in quantitative research, data analysis or a similar role.
Proficiency in statistical programming languages (e.g. Python, R, MATLAB).
Strong understanding of probability theory, statistics and machine learning techniques.
Familiarity with financial markets and products is preferred.
Exceptional problem-solving skills and attention to detail.
Excellent verbal and written communication skills.
Benefits
Competitive hourly pay with opportunities for performance-based bonuses.
Comprehensive health, dental and vision insurance.
401(k) retirement plan with company match.
Paid time off and holidays.
Flexible remote or hybrid work arrangements.
Professional development and continuing education support.
Employee wellness programs.
Relocation assistance (if applicable).
Key Skills
Intelligence Community Experience
Python
Spss
Microsoft Word
R
Regression Analysis
Windows
Stata
Microsoft Powerpoint
Research Experience
Data Modeling
Writing Skills
Employment Type: Full Time
Experience: years
Vacancy: 1
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Key Responsibilities
Develop test and implement quantitative models for data analysis and forecasting.
Analyze large and complex datasets using statistical techniques and programming languages (such as Python, R or MATLAB).
Collaborate with cross-functional teams to define research goals and deliver actionable insights.
Present research findings and recommendations to technical and non-technical stakeholders.
Stay abreast of industry trends, research methodologies and technological advancements.
Prepare comprehensive reports, whitepapers and presentations based on research outcomes.
Ensure data integrity and compliance with company and regulatory standards.
Qualifications
Masters or Ph.D. in Quantitative Finance, Statistics, Mathematics, Computer Science, Economics or a related field.
Proven experience in quantitative research, data analysis or a similar role.
Proficiency in statistical programming languages (e.g. Python, R, MATLAB).
Strong understanding of probability theory, statistics and machine learning techniques.
Familiarity with financial markets and products is preferred.
Exceptional problem-solving skills and attention to detail.
Excellent verbal and written communication skills.
Benefits
Competitive hourly pay with opportunities for performance-based bonuses.
Comprehensive health, dental and vision insurance.
401(k) retirement plan with company match.
Paid time off and holidays.
Flexible remote or hybrid work arrangements.
Professional development and continuing education support.
Employee wellness programs.
Relocation assistance (if applicable).
Key Skills
Intelligence Community Experience
Python
Spss
Microsoft Word
R
Regression Analysis
Windows
Stata
Microsoft Powerpoint
Research Experience
Data Modeling
Writing Skills
Employment Type: Full Time
Experience: years
Vacancy: 1
#J-18808-Ljbffr