Sr Analyst, Data Science & Analytics

What We'll Bring:

Data Scientist, Data Science and Analytics – GCC

Job Level: P02 – Senior Analyst

What You'll Bring:

Data Scientist, Data Science and Analytics – GCC

Job Level: P02 – Senior Analyst

What we’ll bring:

A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.

Workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.

Our culture encourages our people to hone current skills and build new capabilities while discovering their genius.

We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.

Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.

What you’ll bring:

Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) year of professional experience performing data engineering and analytic work in Financial Services or related industries

Strong analytical, critical thinking, and creative problem-solving skills

Advanced programming skills; proficiency with a statistical language such as R; proficiency in SQL, relational and non-relational databases, query optimization, and data modeling

Proficiency with one or more Data Integration tools (Ab Initio preferred)

Proficiency working in a Linux-based environment, including shell scripting and basic system administration

Experience with Big Data tools, such as Hive and Spark

Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment

Strong project management skills with the ability to manage multiple assignments effectively

Ability to travel 10-20%

What we'd prefer to see:

Master’s (2 years) or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) year of professional experience performing data engineering and analytic work in Financial Services or related industries

Familiarity with credit bureau data and business practices

Experience / exposure to Credit portfolio management across the credit life cycle

Experience using R Shiny to develop analytical interfaces

Experience in process automation

Experienced with Tableau or other visualization tools

Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports.

Operates under modest supervision in a complex and dynamic, matrixed environment

Experienced working in a company with a global presence

Impact You'll Make:

Impact you’ll make:

This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.

You’ll collaborate with cross-functional teams and external partners both locally and internationally to drive the design and development of analytical products and solutions.

You’ll foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

You’ll lead and participate in projects involving the enhancement of existing analytical processes through process optimisation and automation.

You’ll work with diverse stakeholders to design, develop and deploy analytical tools and interfaces that significantly reduce operational dependencies within the DSA team.

You’ll define and implement processes that enable and streamline the ongoing integration and consistency of new non-traditional credit bureau (alternative) data sources, our analytical products and solutions across all analytical platforms

Design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud based computing platforms.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.