Manager, Data Science & Analytics

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What We'll Bring:

See attached JD

What You'll Bring:

Manager, Data Science – Alternative Data

Job Level: M01 (Manager I) / M02 (Manager II)

About TransUnion SSPL India:

• TransUnion is a leading global information and insights company that makes trust possible in the modern economy. We do this by providing an actionable picture of each person so they can be reliably represented in the marketplace. As a result, businesses and consumers can transact with confidence and achieve great things. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. A leading presence in more than 30 countries across five continents, TransUnion provides solutions that help create economic opportunity, great experiences and personal empowerment for hundreds of millions of people. We call this Information for Good®—it’s our purpose, and what drives us every day.
• In India, TransUnion CIBIL is the country’s leading credit information company, while TransUnion Software Services Pvt Ltd (TUSSPL) provides data, analytical and technological solutions in the non-credit domain across fraud and identity solutions, digital on-boarding and marketing services. TUSSPL is also uniquely positioned to evaluate and launch new solutions in India leveraging TransUnion International’s global solutions suite across fraud and identity, analytics, marketing and communications.

What we’ll bring:

• A work environment that encourages collaboration and innovation.
• Opportunity to build data products from scratch, covering credit risk, fraud detection and marketing solutions.
• A small team of like-minded individuals, spanning across product, technology, analytics and sales.
• 360-degree view of the Indian lending landscape and working closely with all big lenders.
• Exposure to industry-leading proprietary toolkits for semi-automated model development.
• Interaction with rockstar data scientists of other regions during cross-border collaborations.

What you’ll bring:

• Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another quantitative field.
• At least seven (10) years of professional experience in data science (DS) roles, involving model development on tabular data.
• Advanced proficiency in either Python or R; some familiarity with the other one.
• Expert in at least one among SQL, Hive and Spark.
• Solid understanding about the inner workings of modelling techniques: Linear / Logistic Regression, Generalized Linear Model, K-NN, SVM, Bagging, Boosting.
• Ability to independently handle data science projects.

What we'd prefer to see:

• Master's/higher degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another quantitative field.
• Some idea about the Indian financial services industry and familiarity with the statistical problems related to the lending cycle: acquisition, underwriting, portfolio management, and collections.
• Familiarity with credit bureau data and business practices.
• Rough idea about the external signals that can be used in addition to bureau data for credit and income assessment use cases. Also, some knowledge about entity resolution and digital marketing.
• Familiarity with most, if not all the following words: Risk scorecard, underwriting models, tradeline data, delinquent, default, Gini, ROC AUC, KS Statistic, PSI, CSI, Git, Docker.
• Experience with modern "big data" frameworks (Hadoop, Spark, cloud).

Impact you’ll make:

This position is responsible for supporting the development of data products that look beyond the traditional credit bureau data.

• You will become the Data Science SME in the organization, helping in both product development and sales efforts.
• You will partner with internal and external cross-functional teams to understand the business needs of TU’s B2B customers.
• You will be involved in evaluating third-party data sources to understand incremental value-add on top of existing TU data assets.
• You will create products that merge different data sources to solve the client’s business problems.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytical products and services.
• You will periodically be involved in cross-geography projects to understand scalability of TU products in different regions.

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.

Impact You'll Make:

As above

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.

TransUnion Job Title

Manager I, Data Science and Analytics