Quantitative Research Analyst

As a Quantitative Research Analyst, you will play a pivotal role in developing advanced analytical frameworks to support critical decision-making processes across multiple departments. You will lead initiatives that leverage data-driven 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 in-depth 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 cross-functional departments to define data-driven roadmaps in order to support strategic decision-making 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 non-technical stakeholders through clear, visual, and intuitive graphical representations of data

Provide analytical guidance and mentorship to junior analysts and promote a data-centric culture across the organization

Support and thought leadership and mentorship to junior analysts, ensuring quality control of data analysis processes and fostering a data-centric culture across departments.

Qualifications

Bachelor’s degree in a quantitative or analytics-heavy field (e.g., Economics, Computer Science, Applied Statistics, Finance, Engineering, Data Science); Master’s 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 large-scale 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, time-series 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 problem-solving skills with the ability to distill complex problems into actionable recommendations

Exceptional project management and organizational skills, with experience managing cross-functional projects and working under tight deadlines

Excellent communication skills and the ability to translate complex technical concepts into understandable insights for both technical and non-technical stakeholders

Compensation & Benefits

Competitive salary with the opportunity for performance-based bonuses or role-based 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 cutting-edge research and technology

A collaborative and inclusive work environment where diversity of thought and innovation are celebrated

Salary Range (for US-based locations)

Las Vegas, NV Annualized Base Pay Range: $85,000 - $105,000 USD, with potential for performance-based 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 .