50 Job openings found

1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
5.00 LPA TO 6.00 LPA
Job Title: AI & ML Executive Location: Kolkata Age: 25-35 Years Experience: 5-7 Years CTC: ₹5-6 Lacs per annum Job Description: We are seeking a talented and results-driven AI & ML Executive to join our dynamic team. The ideal candidate will have experience in artificial intelligence (AI) and machine learning (ML) model development, ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions. Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
JD 1 : Quant Analyst – Market RiskRole Summary:The Market Risk Quant Analysts will focus on market risk model development, validation, andcompliance, ensuring that banks meet regulatory and risk management standards.Key Responsibilities: Validate market risk models, including Value-at-Risk (VaR), Expected Shortfall, and StressTesting frameworks. Develop and enhance models for FRTB ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Quant Analyst – Credit RiskRole Summary:The Credit Risk Quant Analysts will work on developing, validating, and enhancing models for creditrisk assessment in banking and financial services.Key Responsibilities: Validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD),and Exposure at Default (EAD). Develop and implement credit risk scoring ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
5.0 Year(s) To 9.0 Year(s)
9.00 LPA TO 18.00 LPA
Job Title: Tableau Developer (5-9 Years of Experience) Introduction: We are seeking a highly skilled and experienced Tableau Developer with 5-9 years of experience to join our dynamic team. The ideal candidate will have a strong background in Tableau development, data visualization, and analytics, along with advanced SQL skills and a solid ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
Job Description:   Responsibilities Lead and enhance the IA Data Driven Review program by analyzing data, providing insights, and ensuring continuous quality improvement. Own and manage the continuous monitoring analytics, tracking key risk indicators, identifying emerging risks, and communicating them to guide audit planning. Develop and implement data analytics solutions to support various audits, including ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
20.00 LPA TO 22.00 LPA
Job Requirement: To be a key team player on data integration & Dashboard creation for the HR team. To be active player on tracking various key HR touchpoint trends & publishing the daily, weekly, monthly analysis on them. To work on various reports for various stakeholders such as internal HR team, Senior Management ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
14.00 LPA TO 15.00 LPA
Role Overview In this role, you will leverage your strong data analysis and modeling skills to build dataproducts that offer our clients valuable insights into their performance and the competitivelandscape. You will work with diverse 1st and 3rd party data sources-including email receiptdata, clickstream data, web scraped data, and more-to develop ...
5 Opening(s)
4.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 20.00 LPA
Job Summary: The Credit Risk Analyst will be responsible for analyzing the credit risk of existing and potential clients, providing insights to support lending decisions, and helping to develop risk management strategies. The ideal candidate should have strong analytical skills, the ability to interpret financial data, and experience with credit risk ...

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