51 Job openings found

What You Will Do Work closely with constituents across the business {Sales, Marketing, Product, Customer Experience, Research and Finance} Develop insights and strategy to drive revenue growth from customer base Assist in annual budget planning and alignment Use data mining techniques and analyse core KPI's and generate insight to reach and improve on the ...

Job Descriptions:   Digital Product Analyst Key Responsibilities ·  Evaluate base Search appliance configurations and assess their implications on search results ·  Design and apply new configurations ·  Identify opportunities to improve search results based on Alight clients’ needs ·  Identify and deploy best practices on an ongoing basis ·  Consult and provide strategy directions on topics such ...

. Data Scientist – KMPL Support Services – Analytics Location: Mumbai Grade: M1 to M4 Reports to: Lead/Principal Data Scientist Role Overview: Responsible for building analytical models for the banking, NBFC, and insurance sectors. Utilize machine learning algorithms or statistical models to optimize business processes across the customer lifecycle. Key Responsibilities: Develop and deploy machine learning ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...