Senior Manager Data Science

Senior Manager Data Science

Requirements

• Bachelors Analytics, Engineering, Statistics, Mathematics or related
• 8+ years Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related
• 2+ years People Management

Responsibilities

• Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
• Closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
• Manages a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged.
• Identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
• Develops and coaches teams to be able to identify, manage, and escalate risk, and effectively manages risk within the teams you oversee.
• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights.
• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
• Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
• Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
• Recruits, trains, coaches and develops talents to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills.
• Manages and sets priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
• Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information.
• Facilitates implementation of work product and ensure accuracy.
• Ensures standard work processes and documentation requirements are timely and consistently followed by team.
• Encourages continuous improvement of team processes and share across functional teams to ensure consistency.

Preferred Qualifications

• Experience in credit risk management within the consumer lending industry.
• Master’s degree in Analytics, Engineering, Statistics, Mathematics, or a related field.
• Proven track record of leading an analytics team in solving complex business problems.