Quant Analytics Manager

Are you passionate about understanding customer needs and driving innovation through data? Join our Consumer Banking Customer Analytics team, where you’ll collaborate with creative thinkers and problem solvers to deliver impactful research and insights. This role offers significant opportunities for career growth, skill development, and the chance to make a real difference for our customers and business.

Job Summary:
As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to-end quantitative studies that inform product and business strategy. You’ll leverage your expertise in SQL, Python, and statistical methods to analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will help shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You’ll partner closely with product leadership, senior business executives, and cross-functional teams to champion user experience and integrate research into design and development.

Key Responsibilities:

• Lead quantitative research studies, including survey and big data analysis
• Collaborate with internal and external stakeholders, including senior executives
• Drive process improvements and contribute to the vision for research
• Communicate findings clearly and deliver top-quality insights
• Champion user experience research and integrate into product development
• Train and mentor junior team members

Required Qualifications, Capabilities, and Skills:

• 5+ years of experience planning and executing user research studies
• Strong programming skills in SQL and/or Python; experience with large datasets
• Proficient in statistical concepts and methods
• Strong analytical, problem-solving, and communication skills
• Experience mentoring and training junior team members
• Ability to drive multiple initiatives with minimal guidance
• Familiarity with banking and finance preferred
• Experience with B2B research a plus

Preferred Skills and Qualifications:

• PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields