50 Job openings found

Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

About Us:We are forward-thinking firm at the intersection of data, technology, and creativity. We empower industries through innovative, data-driven solutions and a culture that values curiosity and bold thinking. Role Summary: We’re seeking a skilled and motivated Data Scientist with 5–6 years of experience to turn complex data into actionable insights. ...

. 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 ...

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 ...

Key Responsibilities: ● AI Strategy & Solution Design: ○ Design AI-based solutions (chatbots, voice bots, AI-driven CRMs, etc.) to automate and enhance the customer care experience. ○ Identify and evaluate AI tools and platforms that can be integrated into our current systems. ○ Develop a long-term AI strategy for the ...

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 ...