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
Requirements:
- 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.
Responsibility:
- 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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