Manager - Data Science Analytics

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What We'll Bring:

We are India’s leading credit information company and have established ourselves as a key anchor in the credit ecosystem of the country over the past 25 years. As an information and analytics provider, we aim to bridge the gap between stakeholders across multiple ecosystems. We use information for good by analyzing credit information to generate solutions for institutions and consumers. Our solutions facilitate easy access to credit for consumers and provide valuable insights to lenders when evaluating potential borrowers.
We are in the business of building trust between organizations and consumers. It is our core belief that trust can help organizations and consumers transact with ease and help them achieve great things.
We are committed to not just being an equal opportunity employer but also actively cultivating a culture of inclusion and belonging. We celebrate and respect the unique backgrounds and experiences that every individual brings to our team. Applicants are evaluated based on job qualification - not race, color, sex / gender, religion, caste, national origin, age, disability, marital status, citizenship status, sexual orientation, gender identity or any other status. We are committed to taking affirmative action to employ and advance minorities, women, and qualified disabled individuals. We ensure a safe, productive, and harassment-free workplace for all.
We are committed to providing reasonable accommodation for individuals with disabilities throughout the application and employment process. Please contact us to discuss any accommodation you may need.
Culture and Values
Our culture is welcoming, energetic, innovative, and deeply committed to fostering an environment of belonging, where diverse perspectives and backgrounds are valued. There’s an overall synergy that flows throughout the company, creating a sense of connectivity, belonging and unity in knowing that we’re all working to achieve the same overall goal. Our core values which we live by every day are integrity, People, Customer, and Innovation.
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What is excitement and passion for us?
We define it as a blend of curiosity, ability to unlearn and yet continuously learn, able to connect with meaning and finally the drive to execute ideas till the last mile is achieved. This passion helps us focus on continuous improvement, creative problem solving and collaboration which ensures delivery excellence.

Dynamics of the Role

This is an exciting time in TransUnion CIBIL. With investments in our people, technology and new business markets, we are redefining the role and purpose of a credit bureau. You will be a part of our Data Science & Analytics team responsible for creating the predictive components of our next generation analytical products in TransUnion CIBIL. You will also be involved in building custom predictive solutions for our key clients. You will be responsible for transforming insights into revenue generating solutions and actionable strategies. You are expected to work collaboratively with product / technology / operations teams to achieve these ambitions.

What You'll Bring:

Roles & Responsibilities

Build generic predictive products which solve critical business issues of all the market players.
Build custom predictive solutions that solve critical business issues of clients.
Build predictive solutions across the value chain of lending business – acquisition, underwriting, portfolio management, and collections.
Leverage 360 degree data sources in predictive solutions – credit data, banking data, and alternate data.
Build solutions to monitor the performance of predictive solutions.
Work with internal & external senior stakeholders on defining the project plan, scope, methodology, and expected business impact of the solutions.
Articulate and communicate results and recommendations along with technical documentation.
Contribute to team’s R&D efforts on innovative analytics methodologies, products and data sources.
Improve and implement best practices with respect to coding, model building and documentation.
Demonstrate self-driven initiatives to learn new techniques/technologies to stay ahead of the curve.

Impact You'll Make:

Experience and Skills

Bachelor’s degree in engineering / analytics / mathematics / statistics / economics
Master’s degree in similar fields will be an advantage
3+ years of modeling experience
Experience of leading data science projects & teams
Extensive experience with predictive modeling in the lending side of the banking industry.
Experience with Indian banking will be an advantage.
Strong proficiency in tools and technologies such as R, Python, Spark, Hive, and SQL. Exposure to the deployment process of predictive models will be an advantage.
Self-starter, ability to work independently, handle ambiguous situations and exercise judgement in variety of situations.
Strong communication, organizational, verbal & written skills.
High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.

Essential Competencies

Ability to build trusting relationships - across all levels and in the immediate / extended team internationally, should be known and regarded as a trusted competent advisor.

Driving innovation – A believer in continuous improvement of services, processes and operational efficiency. Demonstrates curiosity and critical thinking.

Business Acumen – Spends time to ensure understanding of the business and aligns accordingly.

Change agent – Ability to diagnose correctly, design and execute interventions. Ensures communication through appropriate channels in a concise and proactive manner.

Execution champion – Focuses and ensures closure without compromising on quality of the output. Raises / flags issues as necessary and moves forward with a solutioning approach

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

Sr Analyst, Data Science and Analytics