Responsibilities

• Deliver effective quantitative problem solving and analytical research to support key digital marketing initiatives
• Apply deep business understanding and advanced analytical techniques to drive research, experimentation, and measurable outcomes
• Lead, mentor, hire, and develop a high-performing analytics team; promote scientific rigor, ethical AI, and continuous learning
• Maintain a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, prioritizing classical statistical methods for core measurement and optimization work
• Partner with cross-functional teams (for example, Marketing and Finance) to drive insights into action and deliver business impact
• Design and implement scalable, reliable analytics processes to optimize business outcomes
• Conduct extensive analysis of marketing performance, measurement configuration and settings, and customer behavior to improve channel strategies and optimization using advanced quantitative methods
• Own and support strategic measurement initiatives, including effectiveness evaluation and profit and loss analysis; quantify statistical and practical significance
• Solve unstructured business problems and develop deep-dive analyses of customer behavior using multiple analytics and statistical techniques
• Conduct hypothesis testing and advanced experimental design (A/B and multivariate tests) to measure the impact and effectiveness of marketing strategies

Requirements

• Graduate or post-graduate degree in a quantitative discipline (for example, Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning)
• 5+ years of hands-on analytics experience in banking strategic analytics
• Hands-on proficiency with Python and SQL; experience with visualization tools (for example, Tableau) and analytics tools (for example, Alteryx)
• Experience with Adobe Analytics (implementation, reporting, and insight generation)
• Strong statistical or econometric foundation with hands-on experimentation and measurement experience, including A/B testing, causal inference, and experimentation frameworks
• Strong advanced analytics skills using SAS, Python, or R
• Excellent communication skills with the ability to translate complex models into clear explanations and reason codes, influencing cross-functional stakeholders and senior leadership
• Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs
• Ability to evaluate opportunities to apply AI, generative AI, and intelligent automation to improve investigative analysis, documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency
• Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, and imbalanced learning

Preferred

• Proficiency in big data extract, transform, and load processes across structured and unstructured data sources
• Professional experience with AWS, Spark or EMR, and Snowflake
• Experience with Confluence and generative AI tools (for example, ChatGPT), subject to firm-approved usage
• People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture
• Strong understanding of IT processes and databases, with the ability to work directly with data owners and custodians

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• Additional details about total compensation and benefits will be provided during the hiring process.