What We'll Bring:
At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
- 5+ years of relevant experience
- A Master’s or Ph.D. in Statistics, Applied Mathematics, Operations Research, Economics or an equivalent discipline. Equivalent analytical experience
- Advanced proficiency with writing SQL queries for data analysis
- Proficient in a statistical programming languages (R, Python, etc.)
- Strong project management skills with the ability to prioritize and lead multiple assignments simultaneously
- Ability to supervise junior analysts while managing their own projects
- Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences
- Capability to eloquently describe analytic ideas, requirements, processes and findings in non-technical terms
- Strong work ethic with the passion for team success
We'd Love to See:
- Experience with FCRA data in consumer credit (i.e. experience with a lender such as a bank, fintech, or credit union, or could be with a credit bureau, or a government agency or non-profit that works with consumer credit data)
- Highly analytical mindset with the curiosity to dig deeper into data, trends and consumer behavior to better understand why consumers act the way they do with their credit
- Ability to translate a business problem into an analytical design and propose a solution using its analysis findings independently
- Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.)
- Experience with data visualization tools like Tableau
Impact You'll Make:
Financial Services Research & Consulting Consultant acts as an analytical consultant in a Financial Services area such as auto, card, mortgage, and personal loan industry and provide industry level trend and conduct research studies that help solve emerging business problems and drive thought leadership in the market.
- Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, and Python on Linux and Big data platforms).
- Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets.
- Serve as an internal expert on both traditional and short term lending credit data and how it applies to industry trends and current research.
- Take a leading role in formulating research problems based on real world needs.
- Deliver analytic insights and recommendations in succinct and compelling communications and presentations for internal and external customers at various levels including an executive audience.
- Lead projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning).
- Help to cultivate an environment that promotes excellence, innovation, and a constantly learning spirit.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
- 5+ years of relevant experience
- A Master’s or Ph.D. in Statistics, Applied Mathematics, Operations Research, Economics or an equivalent discipline. Equivalent analytical experience
- Advanced proficiency with writing SQL queries for data analysis
- Proficient in a statistical programming languages (R, Python, etc.)
- Strong project management skills with the ability to prioritize and lead multiple assignments simultaneously
- Ability to supervise junior analysts while managing their own projects
- Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences
- Capability to eloquently describe analytic ideas, requirements, processes and findings in non-technical terms
- Strong work ethic with the passion for team success
We'd Love to See:
- Experience with FCRA data in consumer credit (i.e. experience with a lender such as a bank, fintech, or credit union, or could be with a credit bureau, or a government agency or non-profit that works with consumer credit data)
- Highly analytical mindset with the curiosity to dig deeper into data, trends and consumer behavior to better understand why consumers act the way they do with their credit
- Ability to translate a business problem into an analytical design and propose a solution using its analysis findings independently
- Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.)
- Experience with data visualization tools like Tableau
Impact You'll Make:
Financial Services Research & Consulting Consultant acts as an analytical consultant in a Financial Services area such as auto, card, mortgage, and personal loan industry and provide industry level trend and conduct research studies that help solve emerging business problems and drive thought leadership in the market.
- Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, and Python on Linux and Big data platforms).
- Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets.
- Serve as an internal expert on both traditional and short term lending credit data and how it applies to industry trends and current research.
- Take a leading role in formulating research problems based on real world needs.
- Deliver analytic insights and recommendations in succinct and compelling communications and presentations for internal and external customers at various levels including an executive audience.
- Lead projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning).
- Help to cultivate an environment that promotes excellence, innovation, and a constantly learning spirit.