Director of Analytics & Research

The Travelers Companies, Inc   •  

Hartford, CT

Industry: Accounting, Finance & Insurance

  •  

5 - 7 years

Posted 151 days ago

This job is no longer available.

Job Summary

Travelers’ Personal Insurance organization is seeking a Director, Analytics & Research to lead development of Predictive and Prescriptive Models to optimize customer value and reduce operational expense. This is a high-impact role where you will be leading research and development of customer models leveraging latest advances in Predictive Modeling, Machine Learning and Deep Learning. You will have the opportunity to work with many difference sources of customer data, including customer interaction data across different media channels, Voice of Customer data, text and voice data. You will also help grow and expand Customer Modeling capabilities across Travelers!



Primary Job Duties & Responsibilities

  • Collaborate with business partners to design models to optimize business decisions across channels (e.g. Call, Web, Email, Chat)
  • Lead and manage development of analytic models to maximize customer value and improve operational efficiency

  • Independently lead multiple large scale modeling projects from end to end (ideation, design, model development, model validation, model implementation, etc.)

  • Support model monitoring and continued improvements of the test and learn framework to ensure continued improvement of business results

  • Manage a team of modelers to deliver projects based on business and technical requirements and agreed upon timeline; Recruit, develop and mentor modeling team.

  • Be a thought leader in the domain. Continually propose innovative solutions to address business challenges.

  • Support best practices in customer modeling and decision simulation/optimization

  • Effectively communicate analytic design, insight and recommendations to senior management and business partners

  • Foster strong collaboration with business partners across the organization

Minimum Qualifications
PhD STEM (Science, Technology, Engineering, Mathematics) degree with 2 years experience or Masters STEM degree with 5 years experience or Bachelor’s STEM degree with 7 yrs or Bachelor’s degree with FCAS designation and 4 years relevant progressive statistical analysis work experiencerequired. Advanced working knowledge of modeling/research/analytics or actuarialrequired. Relevant statistical analysis work experiencerequired.

Education, Work Experience & Knowledge
Relevant work experience in directing and performing research and/or advanced analytic work (e.g. predictive modeling) in the insurance industry preferred.

Job Specific & Technical Skills & Competencies
Computer Proficiency: Ability to read/revise/review a statistical software program (e.g. R, SAS, SPSS. Ability to create advanced programs from scratch. Leading the Business: Problem Solving & Decision Making. Change Management. Influencing, Leadership, Power. Risk Taking, Innovation. Results Orientation. Business Perspective. Understanding & Navigating the Organization (Includes Collaboration). Leading Others: Forging Synergy. Communicating Effectively. Leveraging Differences. Building & Mending Relationships. Participative Management. Leading Employees. Employee Development. Leading Self: Openness to Influence. Flexibility. Self Awareness. Seeks Opportunities to Learn. Leadership Stature. Credibility. Business Acumen: Understanding and knowledge of key business knowledge areas (e.g. product, enterprise, industry, claim process and competitors). Ability to leverage business knowledge to set strategies and approaches to execution. Critical Thinking: Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues. Modeling: Ability to develop advanced models and interpret model results. Statistics: Understanding of advanced statistics underlying data models. Ability to apply new statistical procedures to work. Demonstrates excellent ability and knowledge of database principles, data profiling, statistics and insurance-related data modeling and can apply this knowledge in the most complex situations. Develops new approaches, methods or policies in the area. Is recognized as an expert, internally and/or externally.

Preferred Qualifications

  • 5+ years of experience in building Statistical and/or Machine Learning models to optimize business decisions
  • 3+ years of experience managing and mentoring modeling team
  • Ability to manage large scale analytic initiatives from end to end; Commitment to excellence in delivery of results.
  • Ability to communicate, present ideas and give direction related to this function in a clear and effective manner to a wide range of audience including senior leaders and business partners
  • Ability to effectively collaborate with business partners and influence business decisions
  • Solid strength in research leadership skills. Ability to look at things in new and innovative ways to benefit the business and positively impact profitability and sales results.
  • Able to create a positive working environment. Seek out opportunities that further develop self and/or staff members with critical knowledge and skills. Set clear standards of performance, track, evaluate and effectively communicate feedback to others.
  • Experience in predicting customer value and its components (e.g. retention, cross sell, service calls, digital adoption) a Plus
  • Experience in Deep Learning techniques a Plus

  • Advanced degree (Ph. D. or MS) in Mathematics/Statistics/Machine Learning/Computer Science and/or other quantitative fields
  • Proficiency in Statistical Modeling and Machine Learning tools, e.g. SAS, Python, R

17744BR