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About the Role
The Financial Services Analytics team partners with financial institutions to solve complex business challenges using advanced analytics and TransUnion data assets. This role will develop predictive models and advanced analytics solutions, lead analytics engagements, and translate analytical findings into actionable business recommendations.
Responsibilities
- Develop predictive models and advanced analytics solutions for clients across credit risk, fraud, insurance, and marketing use cases.
- Lead analytics engagements from project design and development through implementation, validation, and client presentation.
- Partner with internal stakeholders, sales teams, and external clients to identify opportunities where data science can create business value.
- Conduct descriptive, predictive, and prescriptive analyses to solve complex customer business challenges.
- Translate analytical findings into actionable business recommendations and present results to technical and non-technical audiences.
- Design, build, and optimize data extraction, segmentation, and statistical analysis processes using large-scale datasets.
- Create repeatable analytical frameworks and process improvements that increase efficiency and scalability.
- Support business development efforts through project proposals, client presentations, and analytic consulting.
Requirements
- Master’s degree or PhD in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, Engineering, Operations Research, or another highly quantitative field.
- 1+ years of experience performing analytics, data science, statistical modeling, or quantitative analysis.
- Understanding of U.S. financial services risk management practices and how data-driven insights support business decisions.
- Experience within financial services, insurance, fraud, credit risk, digital marketing, or related industries.
- Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
Skills
- Python or R for statistical analysis, predictive modeling, and data science solution development.
- SQL for data extraction, transformation, segmentation, and analysis.
- Experience working with large datasets and distributed data platforms such as Hive and Spark.
- Knowledge of machine learning, predictive analytics, statistical modeling, and business intelligence techniques.
- Experience working with credit bureau data, credit risk models, or financial services analytics.
- Exposure to programming languages such as Java or C/C++.
- Experience in client-facing consulting or analytics advisory engagements.
- Knowledge of fraud analytics, insurance analytics, or marketing analytics solutions.
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 1+ years of experience
Education Level
- Master’s degree or PhD
Salary/Compensations
- $67,500.00 - $112,500 annually
Benefits
- Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
- Spousal, domestic partner, and other eligible dependent coverage is available on select plans.
- Tax-advantaged HSA and FSA accounts.
- Company-paid basic life and AD&D.
- Optional voluntary life and AD&D for you and your family.
- Short- and long-term disability.
- Optional legal plan, pet insurance, and travel accident coverage.
- Adoption assistance and fertility planning coverage.
- Caregiver support.
- Dependent Care FSA for possibility of an employer match.
- Complimentary Care@Work membership.
- Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
- 401(k) with employer match.
- Employee Stock Purchase Plan (ESPP).
- Financial wellness resources.
- Career coaching.
- Optional long-term care insurance.
- Tuition reimbursement.
- Flexible time off for exempt employees or paid time off for nonexempt employees.
- Up to 12 paid holidays per year.
- Commuter benefits.
- Employee discounts.
- Charitable gift matching.
- Paid volunteer time off.
- Corporate volunteer events.
- 24/7 support including professional therapy, coaching, and emotional well-being programs.
- Guided meditation and resources that support physical, mental, social, and financial wellness.
About the Company
- At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers.
- We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way.
- We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
- Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
Equal Opportunity
- We are committed to being a place where diversity is not only present, it is embraced.
- As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
- Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans.
- Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.