Equifax Hiring Drive 2024 For Data Scientist | Location Bangalore

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Equifax Hiring Drive 2024: Equifax  Hiring Drive 2024 for its Data Scientist. Equifax Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Equifax

Role: Data Scientist

Location: Bangalore

Experience: 1-3 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 11.7 LPA(Expected)

Equifax Hiring Drive 2024

Job Description:

  • Join our Model Risk Management group as a Data Scientist, where you’ll play a pivotal role in ensuring the accuracy and reliability of our models.
  • Collaborate with cross-functional teams to assess, validate, and enhance AI and ML models that serve the needs of our clients and help consumers live their financial best


  • Understanding of key business and risk KPIs for retail banking products.
  • 1-3 years’ experience in handling BFSI analytics/implementing models/Big data/Cloud solution architect.
  • Credit risk modeling development experience is preferred.
  • SQL/Python coding experience is a must have technical skill.
  • Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9).
  • Strong knowledge of statistical methods, machine learning techniques, and data visualization tools.
  • Familiarity with regulatory requirements and guidelines related to model risk management is a plus.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Highly analytical with experience of working in teams.
  • Self-starter with high energy levels and ability to work in a fast-paced environment.
  • In-depth business & risk understanding.
  • Adaptability to work in project- based engagements across different kinds of banking clients.


  • Conduct rigorous analysis and validation of various models used across the organization.
  • Develop and implement strategies to identify, quantify, and mitigate model risks.
  • Collaborate with stakeholders to improve model performance, interpret results, and provide actionable insights.
  • Utilize advanced statistical and machine learning techniques to analyze complex data sets.
  • Contribute to the design and execution of model testing and monitoring processes.
  • Stay current with industry best practices and regulatory guidelines related to model risk management
  • Collaborate with a team of innovative data scientist to identify areas of MRM that can be automated and develop solutions to increase efficiency and quality

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