The Travelers Companies, Inc.

Associate, Analytics & Research- Remote

Posted on Jun 3 Hartford, CT


Company Information

Solid reputation, passionate people and endless opportunities. That’s Travelers. Our superior financial strength and consistent record of strong operating returns mean security for our customers – and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.

Target Openings

1

Job Description Summary

Support the strategy and manage projects, people or innovation streams. Conduct a variety of statistical analyses including data mining, predictive modeling and/or actuarial techniques. Review analyses and provide direction and insight. Serve as a subject matter expert in one or more of the following: Advanced statistical analyses. Actuarial and/or research methods. Broad business knowledge. In-depth Line of Business knowledge. May provide direction to a team of analysts and/or project members.

Primary Job Duties & Responsibilities

  • Perform and manage a variety of advanced statistical analyses including data mining and actuarial research techniques.
  • Analyze/interpret data, draw business inferences and clearly articulate findings for target audience.
  • May manage one or more advanced research projects simultaneously.
  • Present analysis and recommendations to target audience.
  • May lead in-depth efforts in applying, validating and implementing predictive models.
  • Apply established techniques to new business problems.
  • Proactively stay abreast of industry, developments, changing trends and jurisdictional issues.
  • Attend various seminars and conference as appropriate.
  • Develop and maintain effective relationships with business partners.
  • Partner with peers across organization and potentially across the company, to ensure consistency and alignment where appropriate.

Minimum Qualifications

  • PhD STEM (Science, Technology, Engineering, Mathematics) degree with zero years experience or Masters STEM degree with 3 years experience or Bachelor's STEM degree with 5 yrs experience required.
  • Moderate working knowledge of modeling/research/analytics or actuarial required.
  • Relevant statistical analysis work experience required.

Education, Work Experience, & Knowledge

  • Relevant work experience in research and/or advanced analytic work (e.g. predictive modeling) preferred.

Job Specific Technical Skills & Competencies

  • Ability to read/revise/review a statistical software program (e.g. R, SAS, SPSS.)
  • Ability to create advanced programs from scratch.
  • Problem Solving & Decision Making.
  • Risk Taking, Innovation.
  • Results Orientation.
  • Business Perspective.
  • Understanding & Navigating the Organization (Includes Collaboration).
  • Forging Synergy.
  • Communicating Effectively.
  • Leveraging Differences.
  • Building & Mending Relationships.
  • Employee Development.
  • Leading Self:
  • Openness to Influence, Flexibility.
  • Self Awareness.
  • Seeks Opportunities to Learn.
  • Leadership Stature.
  • Credibility.
  • Understanding and knowledge of key business knowledge areas (e.g. product, enterprise, industry, claim process and competitors).
  • Ability to leverage business knowledge to determine approaches to execution.
  • 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.
  • Ability to develop advanced models and interpret model results.
  • Understanding of advanced statistics underlying data models.
  • Ability to apply new statistical procedures to work.
  • Demonstrates intermediate to strong ability and knowledge of database principles, data profiling, statistics and data modeling and can apply this knowledge in new or complex situations.
  • May guide other professionals.

Equal Employment Opportunity Statement

Travelers is an equal opportunity employer.