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You will work in close collaboration with stakeholders across functions, translating complex analyses into clear narratives and actionable recommendations.\nJob responsibilities\nAnalyze client, advisor, and macro-behavioral trends related to wealth management products and solutions, including managed solutions, mutual funds, exchange-traded funds, banking, and lending\nAnalyze financial flow data to inform strategic decision-making, including forming hypotheses and conducting deep-dive investigations\nProvide analytical support for regulatory matters through well-documented, high-quality analysis and responsive stakeholder partnership\nResearch competitor positioning using data-driven approaches to support strategic discussions and business decisions\nAssemble, organize, validate, and analyze data using tools and technologies such as SQL, Python, and R\nApply statistical, causal inference, and machine learning techniques, including clustering, tree-based models, matching methods, and time-series anomaly detection\nPresent findings and recommendations to stakeholders and senior leaders across Solutions and Advice, Finance, Legal, and Data and Analytics\nRequired qualifications, capabilities, and skills\n1+ years of experience in an analytical, analytics, data science, finance, or management and economic consulting role\nBachelor’s degree in a related field such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or another applicable science, technology, engineering, or mathematics discipline\nStrong SQL skills with experience using SQL to assemble, organize, and analyze datasets\nExperience using Python and/or R for analysis, modeling, and data preparation\nAbility to explain complex concepts in clear, digestible terms for audiences at various levels of the business\nStrong storytelling skills, including turning analysis into actionable recommendations\nAptitude for learning new theory and new technology in a fast-moving environment\nDemonstrated attention to detail and strong quality standards in analytics deliverables\nPreferred qualifications, capabilities, and skills\nMaster’s degree or PhD\nKnowledge of or demonstrable interest in financial securities and markets\nPractical understanding of advanced statistics, econometrics, and/or machine learning\nPractical understanding of financial modeling and economics\nExperience applying causal inference methods in an applied business setting","description_format":"text","description_chars":2843,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Commercial & Retail Banks","Asset Management & Funds","Investment Banking & M&A 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