At Liberty Mutual, we believe progress happens when people feel secure. For more than 110 years we have helped people and businesses embrace today and confidently pursue tomorrow by providing protection for the unexpected and delivering it with care.

A Fortune 100 company with more than 40,000 employees in 28 countries and economies, we are the ninth largest global property and casualty insurer and generate more than $50 billion in annual consolidated revenue.

We operate through three strategic business units: US Retail Markets, providing auto, home, renters and other personal and small commercial lines property and casualty insurance to individuals and small businesses countrywide; Global Risk Solutions, delivering a full range of comprehensive commercial and specialty insurance, reinsurance and surety solutions to mid-size and large businesses worldwide; and Liberty Mutual Investments, deploying more than $100 billion of long-term capital globally across its integrated platform to drive economic growth, power innovation and secure Liberty Mutual’s promises.

Key Responsibilities

Dedicate 80% of your time developing, coding, and testing fraud scenarios to generate efficacious leads for the Internal Sales and Service Fraud Investigation team by using advanced data analysis techniques and tools (e.g. Snowflake, SQL, SAS, PowerBI, etc.).

Directly support our Internal Sales and Service Fraud Investigation stakeholders by leveraging marketing, distribution, and call data to identify suspicious patterns, anomalies, and emerging fraud trends across lines of business; including ad hoc requests to support active and future investigations.

Partner with Fraud Hub leaders on strategic priorities and collaborate with Data Science and Reporting partners to integrate your insights into impactful dashboards and modeling solutions.

Support the Analytics Asst Director to refine and update the framework that defines how we value potential Internal Sales and Service fraud leads.

Develop operational health metrics and deliver data-driven narratives for the monthly operational review (MOR), surfacing performance drivers and improvement opportunities.

Define best-in-class standards for fraud analytics excellence, institutionalize domain-specific business and technical expertise, and drive “build-once-reuse-many” framework.

Ideal Candidate

Experience with Internal Sales and Service data is a strong plus (or experience with financial fraud).

Strong technical and analytical skills, experience working with large datasets and advanced coding techniques (preferably SQL).

Strong stakeholder orientation: able to actively listen to and understand the stakeholder’s needs; understand the stakeholder’s end goal so you can deliver data and analyses that are usable and timely.

Qualifications

Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required.

Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.

Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.

Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).

Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes.