Data Scientist - Consumer Deposits & Small Business

Key Skills

Analytical and Problem solving, Data Engineering, Data Modeling, Data science techniques, Data Visualization, Java Programming, JIRA, Leadership, Machine learning techniques, Python Programming, R Programming, SAS, SQL, Statistics, Tableau

Job Description

• Develop concrete hypothesis-driven analytical deliverables and compelling narratives and/or management dashboards to guide executive decision making
• Leverage prior domain knowledge of Consumer Deposits, Small Business, Payments, Pricing or Investments and proactive research of industry / peer trends to identify growth opportunities

• Understand product P&Ls, portfolio risk and value drivers to build robust business cases and product / business strategy proposals
• Conduct ongoing analysis of key business drivers, identify trends and monitor performance indicators to communicate and improve business performance and evaluate effectiveness of strategic/tactical initiatives

• Drive analytics projects end to end: framing and structuring key questions, building hypothesis, collecting and analyzing data, and delivering key insights or analytical solutions in partnership with cross-functional teams
• Develop customer profiles and recommend data-driven segmentation approaches, deliver actionable insights to improve customer engagement and lifetime value
• Have a test and learn mentality and employ problem solving frameworks and big-picture thinking to translate both ambiguous and tactical business queries into analytical deliverables, aligned to strategic goals
• Partner closely with data scientists and data engineers to analyze complex data from disparate systems, implement analytics solutions and evangelize data best practices

Requirements:

• Bachelor's Degree in a quantitative field (Computer Science, Data Science, Business Analytics, Statistics or similar); Master's Degree preferred
• 3-5 years’ experience in a similar function (e.g. Product Analytics, Strategy, Financial Modeling, Data Modeling and Visualization); Prior experience with Retail Banking, a role supporting CConsumer Deposits, Small Business, Payments, Pricing or Investments preferred
• Demonstrated experience with SAS, SQL and one other programming language (Python, R etc) and ability to adapt to various programming languages and environments
• Familiarity with data visualization tools (Tableau) and project management tools like JIRA and Confluence.
• Individually motivated, strong business acumen and quantitative / problem-solving skills with a focus on delivery in a fast-paced environment.
• Knowledge of the principles of machine learning, classification models, time series regression and stochastic statistics to deliver improved business performance
• Excellent written and verbal communication skills and comfort partnering with leadership