Quantitative Research Analyst
Quantitative Research Analyst
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Job Description
As a Quantitative Research Analyst you will play a pivotal role in developing advanced analytical frameworks to support critical decisionmaking processes across multiple departments. You will lead initiatives that leverage datadriven insights applying modeling and statistical analysis to inform strategic decisions related to operations financial policy and risk management enabling smarter decisions and ultimately driving organizational success.
Responsibilities
Analyze large complex datasets to provide strategic insights into fraud risk management payment operations and related operational optimizations
Conduct indepth competitive market analysis identifying market trends gaps and opportunities for product and operational optimizations
Implement technical models to assess financial performance and business efficiencies as well as user trends and patterns via behavioral data mining and predictive analytics
Collaborate with team leads and crossfunctional departments to define datadriven roadmaps in order to support strategic decisionmaking for key stakeholders
Utilize advanced statistical techniques such as regression analysis factor analysis and machine learning to solve complex business problems and drive key initiatives
Lead the design and development of robust data models and reporting frameworks utilizing SQL R Python and other analytical tools for actionable insights
Communicate complex analytical results to both technical and nontechnical stakeholders through clear visual and intuitive graphical representations of data
Provide analytical guidance and mentorship to junior analysts and promote a datacentric culture across the organization
Support and thought leadership and mentorship to junior analysts ensuring quality control of data analysis processes and fostering a datacentric culture across departments.
Qualifications
Bachelors degree in a quantitative or analyticsheavy field (e.g. Economics Computer Science Applied Statistics Finance Engineering Data Science); Masters or PhD is strongly preferred
2 years of experience in quantitative research statistical analysis or data science including demonstrated ability to work with large datasets and perform complex data analyses
Proficiency in SQL Python R or similar programming languages with a strong understanding of statistical methods and machine learning algorithms
Advanced experience with data visualization tools (e.g. Tableau PowerBI) and the ability to present data insights to a wide range of audiences from technical to executive leadership
Proven ability to independently design execute and communicate results from largescale research projects including survey design and analysis
Experience applying advanced statistical techniques such as multivariate regression logistic regression cluster analysis and factor analysis with expertise in software packages like R Python SPSS etc.
Familiarity with advanced machine learning techniques (e.g. natural language processing timeseries forecasting) and their application to business problems is a plus.
Experience in financial risk analysis fraud detection payment operations or related fields is preferred
Strong analytical problemsolving skills with the ability to distill complex problems into actionable recommendations
Exceptional project management and organizational skills with experience managing crossfunctional projects and working under tight deadlines
Excellent communication skills and the ability to translate complex technical concepts into understandable insights for both technical and nontechnical stakeholders
Compensation & Benefits
Competitive salary with the opportunity for performancebased bonuses or rolebased incentive plans
Comprehensive benefits package including medical vision dental paid time off (PTO) 401k and more
Professional growth and development opportunities including access to training mentorship and exposure to cuttingedge research and technology
A collaborative and inclusive work environment where diversity of thought and innovation are celebrated
Salary Range (for USbased locations)
Las Vegas NV Annualized Base Pay Range: $85000 $105000 USD with potential for performancebased incentives and benefits.
Equal Opportunity Employer
Sleeper is committed to providing equal employment opportunities to all applicants and employees and we encourage individuals of all backgrounds to apply. If you are a qualified individual with a disability or a disabled veteran and need accommodations to participate in the application process please contact us directly at
Required Experience:
IC
Employment Type
Full-Time
