Quant Analyst- Senior Associate

Job description

Join a team that unifies diverse talent to transform business outcomes through data governance, strategy, reporting, and advanced analytics. As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team, you will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective. Job Responsibilities Deliver effective quantitative problem solving and analytical research for key pricing initiativesApply deep understanding of business and data analytical techniques to research and experimentationLead, mentor, hire, and develop a high-performing team of analytics professionals, promoting scientific rigor, ethical AI, and continuous learningMaintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreamsPartner with cross-functional teams, including Finance and Marketing, to drive impactful resultsDesign and implement scalable and reliable data analytics processes to optimize business outcomesConduct extensive analysis of pricing functionality, settings, and customer behavior to improve strategies and policies using advanced research and quantitative techniquesOwn and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis to quantify statistical and practical significanceSolve unstructured business problems and develop deep-dive analysis of customer behavior using multiple analytics and statistical techniquesConduct hypothesis testing and advanced experimental design, including A/B and multivariate tests, to measure the impact and effectiveness of pricing strategies Required Qualifications, Capabilities, and Skills Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning3+ years of hands-on analytics experience in banking strategic analytics along with Python, SQL and visualization tool including Tableau & Alteryx.Hands on experience in Python, SQL and visualization tool including Tableau with machine learning frameworksStrong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworksSolid skills in advanced analytics with SAS, Python, or R languageExcellent communication skills to translate and explain complex models with clear reason codes, influencing cross-functional stakeholders and senior leadershipExposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programsAbility to evaluate opportunities to apply AI, GenAI, or intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiencyFamiliarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration/threshold optimization, imbalanced learning, and pricing sensitivity evaluation Preferred qualifications, capabilities, and skills Proficient in big data ETL processes for structured and unstructured databasesProfessional experience with AWS, Spark/EMR, ChatGPT, Confluence, and SnowflakeExposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.Good understanding of IT processes and databases, with ability to work directly with data owners and custodians