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Job Description
As a Data Scientist , you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
What youll do
- Contribute to the design and execution of Custom Models, Validation of existing Scores and Insight generation.
- Collaborate with stakeholders to interpret results, understand requirements and provide actionable insights.
- Analyze complex data sets related to Consumer banking on Google Cloud Platform(GCP) using Python,PySprak and Bigquery.
- Develop models using advanced Machine Learning algorithms, ensuring accuracy, stability and explainability in predicting key outcomes.
- Demonstrated expertise in AI techniques (Machine learning, Deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent is recommended.
- Develop and implement strategies to identify, quantify additional lift from various scores.
- Understanding of key business and risk KPIs for retail banking products.
- Overall 5-8 years of experience in data science is mandatory, 4+ years experience in handling BFSI analytics/developing Models/validation/ implementing models/.
- Credit risk model development experience is a must.
- Python and SQL coding experience is a must have technical skill.
- Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously
- Strong knowledge of Statistical methods, Machine learning techniques including Ensemble techniques, Deep learning.
- 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.
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- Strong business acumen and strategic thinking
- High energy levels and ability to work in a fast-paced environment
- Strong interpersonal skills and ability to collaborate effectively with diverse teams across multiple geographies and levels of the organization
- Opportunity to use cutting-edge statistical/modeling tools across literally hundreds of data assets.
- Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9).
- First hand experience on cloud based platforms including GCP & AWS
- Masters degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related discipline a definite plus
Skills
PythonData ScienceDeep LearningMachine LearningData ScientistAnalyticsAiGoogle CloudMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Equifax, a global data, analytics, and technology company, empowers organizations and individuals with insights to make informed decisions. With over a century of experience, Equifax is a trusted leader in providing innovative solutions for managing and analyzing data related to credit, identity, and risk. Leveraging advanced analytics and technology, Equifax helps businesses mitigate risks, improve customer experiences, and drive growth. Committed to data security and privacy, Equifax ensures the responsible use of information to protect consumers' interests. Equifax Careers offers diverse opportunities for professionals to contribute to shaping the future of data-driven insights and solutions. Join Equifax to be part of a dynamic team driving positive change and innovation in the digital era.
Important dates & deadlines?
Application Deadline
28 Mar 26, 03:40 PM IST
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Associate Manager - Data Scientist
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