MRM- Senior Analyst, Data Science & Analytics

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Team Overview

Credit Risk Solutions Development Team for Canada Region
Data Scientist, Data Science and Analytics – GCC
Job Level: P02 – Senior Analyst

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.

Role Overview And Core Responsibilities

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) years of professional experience performing data science and analytics work in Financial Services or related industries.
• Experience in model monitoring and validation is strongly preferred for this role.
• Strong analytical, critical thinking, and creative problem-solving skills
• Advanced programming skills; proficiency with a statistical language such as R, Python; proficiency in SQL, relational and non-relational databases, query optimization, and data modeling and good understanding on machine learning tools like regression, classification and also tree-based models.
• Experience working in Hive/Spark or BigQuery also preferred.
• 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

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 science and analytic work in Financial Services or related industries.
• Experience / exposure to Credit portfolio management across the credit life cycle and model monitoring and validation strongly preferred for this role.
• Familiarity with credit bureau data and business practices
• Experience with some data visualization tools and strong data wrangling skills.
• 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

Required Knowledge And Experiences

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 be involved extensively in providing all custom client plus regular internal/external custom monitoring reports.
• You’ll foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• You’ll participate in projects involving the enhancement of existing products through process optimisation and automation.
• You’ll collaborate with cross-functional teams and internal stakeholders, locally and internationally, to drive the design and development of credit products and solutions.
• 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.

TransUnion Overview:

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.

TransUnion Job Title

Sr Analyst, Data Science and Analytics