Senior Quantitative Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Quantitative Analyst in the United States.

This role sits at the intersection of advanced analytics, business strategy, and financial performance, where data is directly translated into decisions that shape growth and profitability. You will work closely with cross-functional teams to analyze marketing, credit, and customer data, uncovering insights that inform strategic direction across the organization. The environment is highly collaborative and fast-paced, with a strong emphasis on ownership, precision, and business impact. You will be expected to turn complex datasets into clear narratives that guide leadership decisions and optimize performance. This position is ideal for a highly analytical professional who thrives in solving ambiguous business problems with data. Your work will directly influence customer acquisition strategies, revenue outcomes, and enterprise value creation.

• Translate marketing and business performance data into insights tied to revenue, acquisition, and profitability outcomes
• Analyze channel and campaign performance against forecasts to identify optimization and growth opportunities
• Build, validate, and maintain statistical models and analytical frameworks using large-scale datasets
• Deliver clear, compelling presentations and recommendations to senior stakeholders and leadership teams
• Ensure data integrity while developing insights that support strategic planning and execution
• Collaborate with marketing, credit, and cross-functional teams to design and implement data-driven initiatives
• Develop dashboards and visualizations to communicate key performance trends and business insights
• Support ongoing strategic initiatives through ad hoc analysis and problem-solving

Requirements

• 5+ years of experience in Business Analytics, Data Science, or a similar quantitative role
• Advanced degree (Master’s or PhD) in Statistics, Mathematics, Economics, Data Science, Business Analytics, or related field
• Strong proficiency in Python or R for statistical modeling and data analysis
• Advanced SQL skills and experience working with large, complex datasets
• Experience with data visualization tools such as Tableau or Power BI
• Strong business acumen with the ability to connect analytics to strategic outcomes
• Excellent communication skills with the ability to translate complex data into clear narratives
• Ability to manage multiple projects simultaneously in a fast-paced environment
• Experience in financial services, lending, banking, or fintech is a strong plus
• Strong collaboration skills and comfort working cross-functionally with diverse teams

Benefits

• Comprehensive medical, dental, and vision insurance for employees and eligible dependents
• Competitive PTO and vacation policies, including monthly wellness Fridays
• 401(k) retirement plan with employer contributions
• Annual training, certification, and professional development opportunities
• Performance-based bonuses and recognition programs
• Flexible, team-oriented culture with strong emphasis on work-life balance
• Volunteer and community engagement opportunities
• Inclusive workplace culture focused on growth, leadership, and collaboration

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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