Data Scientist

6 days ago

Pune Maharashtra, India Equifax Full time

**What You’ll Do**:

- Develop market leading statistical scores and models for the Equifax UK business in relation to Fraud, Identity and Financial Crime
- Utilise and blend all available data sources to ensure all fraud related models are highly predictive and market leading - consumer bureau, commercial bureau, postcode insights, open source data & transactional insights
- Utilise the latest cloud based technologies and analytical tooling to support test and learn champion/challenger approaches towards new fraud scores and models
- Consider the creation of new fraud focused characteristics/attributes to improve and maximize the predictive power of the model(s) as well as enhancing and creating other analytical fraud products and services
- Liaise with internal stakeholders in a timely and effective manner towards the delivery of new scores and products e.g. Product Managers, Model Risk Management, Pre-Sales, Consultancy, Compliance, Technology, Data & Analytics, etc.
- Work closely with Data Scientists and analytical teams globally across the Equifax business to share best practice and learnings
- Adhere to relevant model development policies and procedures towards a successful deployment of scores and models e.g. sample design, good/bad definitions, rationale for exclusions, model development, model validation, implementation, etc.
- Produce suitable documentation alongside the statistical development of the model(s)

**What experience you need**:

- Highly numerate with a relevant degree e.g. Mathematics, Statistics, Computer Science
- Use of relevant analytical tooling on a day-to-day basis e.g. Python, BigQuery, Jupyter Notebook, SQL, etc.
- Previous experience of developing fraud focused regression models and scores - linear and logistic
- Day to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.
- Experience using credit bureau data in statistical models - raw and summarised data
- Able to extract data from multiple platforms and create master datasets towards the development of statistical models
- A team player, effective communicator with the ability to work unsupervised

**What could set you apart**:

- Experience of developing AI/ML based fraud solutions and models
- Day to day use of G-Suite tooling, GCP and VertexAI
- Experience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc.
- Use of alternative data such as open banking transactional data in statistical models
- Experience of working in a product development environment
- Experience with standard product testing procedures (UAT, OAT, regression, etc.)
- Adoption of champion/challenger approaches and techniques
- Creative and innovative thinker
- Strong track record of delivery
- Team player with the ability to go above and beyond

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