Consumer Lending Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Consumer Lending Data Scientist

Boston, United States of America

WHAT YOU WILL BE DOING

This is a hybrid position that will have time working both remote and in the office. The reporting corporate office location for this role is in Boston, MA or Dallas, TX.

The Data Science Associate drives cross-functional strategy and analytics projects to support profitable growth and data-driven decision making in our Consumer Lending and Small Business verticals.

As a strategic business partner, this individual will work in a consultative manner with key executives and stakeholders to proactively identify business opportunities, build business cases for growth initiatives and develop deep customer insights and meaningful action plans.

In this role, you can expect to:

• Support product growth and market expansion strategies with data-driven analytic solutions, customer insights and implementation plans
• Develop concrete hypothesis-driven analytical deliverables and compelling narratives and/or management dashboards to guide executive decision making
• Leverage prior domain knowledge of Consumer Lending and Small Business products 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 Consumer Lending 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