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Data Scientist - Credit Risk

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Equifax

27d ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Pune

AI generated summary

  • You should have experience in statistical modeling, strong analytical skills, proficiency in Python and SQL, knowledge of credit data, AI/ML solutions, and effective communication in a team.
  • You will develop predictive models, blend data sources, apply statistical and AI techniques, collaborate with stakeholders, document processes, and enhance analytical products for credit risk solutions.

Requirements

  • Extensive experience developing statistical models and scores across the consumer lending cycle e.g. application scores/models, behavioural scores, collections & recoveries models, fraud, etc.
  • Highly numerate with a relevant degree
  • Use of relevant analytical tooling on a day-to-day basis e.g. Python, BigQuery, Jupyter Notebook, SQL, etc.
  • Previous experience of developing 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
  • Experience of developing AI/ML based 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

Responsibilities

  • Develop market leading statistical models for the credit reference agency part of the Equifax UK business e.g. Risk Navigator credit bureau scores, collections scores, fraud models, other risk scores, affordability solutions, income verification products and solutions to identify consumer vulnerability
  • Utilise and blend all available data sources to ensure all models are highly predictive and market leading - consumer bureau, postcode insights, open source data & transactional insights
  • Apply traditional model development techniques and approaches (e.g. linear & logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.
  • Utilise the latest cloud based technologies and analytical tooling to support test and learn champion/challenger approaches towards new scores and models
  • Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services
  • Investigate and apply appropriate segmentation and sub-populations to maximise overall model & score performance
  • 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)

FAQs

What are the key responsibilities for the Data Scientist - Credit Risk position?

Key responsibilities include developing statistical models for credit scoring, utilizing various data sources for model prediction, applying traditional and AI/ML techniques, and collaborating with internal stakeholders to deliver new scores and products.

What qualifications are required for this role?

A highly numerate candidate with extensive experience in developing statistical models across the consumer lending cycle and a relevant degree is required.

What analytical tools should candidates be familiar with?

Candidates should be proficient in tools such as Python, BigQuery, Jupyter Notebook, and SQL.

Is experience with credit bureau data essential for this role?

Yes, experience using credit bureau data in statistical models is an essential requirement.

What kind of team environment can I expect?

The role promotes a collaborative environment, with expectations for effective communication and the ability to work unsupervised as a team player.

Are there desirable skills for this position beyond the essential ones?

Yes, desirable skills include experience in developing AI/ML solutions, familiarity with G-Suite and GCP, working in a credit reference agency, and exposure to alternative data such as open banking transactional data.

What is the approach towards model development in this role?

The role adheres to relevant model development policies and procedures, focusing on a test and learn champion/challenger approach for new scores and models.

Is there an emphasis on documentation in this position?

Yes, producing suitable documentation alongside the statistical development of the models is a key expectation.

What industries are relevant for experience in this role?

Relevant industries include Banking, Lending, Insurance, Public Sector, and Utilities.

What is the company’s stance on creativity and innovation in this role?

The company encourages creative and innovative thinking to enhance model performance and develop analytical products and services.

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Equifax

Finance
Industry
10,001+
Employees

Mission & Purpose

Equifax is a global data analytics company that specialises in providing consumer credit reporting and risk assessment services. They collect and analyse vast amounts of consumer and business data to generate credit scores, produce credit reports, and offer solutions for identity verification, fraud detection, and risk assessment. Equifax's ultimate mission is to help businesses and consumers make informed decisions by leveraging data and insights. Their purpose is to provide trusted and accurate information to support lending decisions, enable responsible financial behaviour, and mitigate risks for businesses. Equifax aims to empower businesses and individuals with the tools and knowledge necessary to navigate the credit landscape, protect against fraud, and make sound financial decisions. They strive to uphold data security and privacy standards while delivering innovative solutions that contribute to a more transparent and efficient financial ecosystem.