Senior Data Scientist Intellectual Capital Hr Consulting

5.0 - 10.0 years

12 - 16 Lacs

Bengaluru

Work from Office

extractapplyapply Key Responsibilities: Mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital Mine products and or services. Supports the generation of an automated insights generation framework for business partners to effectively interpret data Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services . Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive advantage Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects Contributes subject-matter expertise on automation and analytical projects, collaborating across functions Translates requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Contributes for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business Executes plans for measuring impact based on discussions with stakeholders, partners and senior team members Executes projects with full adherence to enterprise project management practices

Posted 2 weeks ago

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Unit Manager - Risk Bajaj Finance

1.0 - 3.0 years

0 - 1 Lacs

Pune

Work from Office

Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Significant experience of model risk management, governance and/or model development / validation. Significant experience of local regulators and regulations. Experience of managing senior stakeholder and external communications. Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict. Providing expert advice, robust challenge and managing risk and controls Excellent written and oral communication skills & Strong attention to detail. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline. Effective verbal and written communication skills.

Posted 4 weeks ago

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Amazon Sagemaker Professional Value Innovation Private Limited

8.0 - 12.0 years

20 - 22 Lacs

Pune

Work from Office

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Posted 1 month ago

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Amazon Sagemaker Professional Value Innovation Private Limited

8.0 - 12.0 years

20 - 22 Lacs

Bengaluru

Work from Office

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

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Amazon Sagemaker Professional Value Innovation Private Limited

8.0 - 12.0 years

20 - 22 Lacs

Pune, Bengaluru, Delhi / NCR

Work from Office

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

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Senior Analyst - Quantitative Credit Risk Solytics Partners

3.0 - 8.0 years

13 - 17 Lacs

Pune

Work from Office

Job Summary: Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk, Fair Lending and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio. Job Description: - Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory. - Performing these activities on the MRM framework for corporate BASEL and IFRS9 models. - Lead credit scoring modelling exercise with applicable compliance to regulations. - Validating Fair Lending Models and suggesting recommendations for enhancements. - Implementation and enhancement of ECL models based on internal enhancements, BASEL or Saudi Central Bank regulatory stipulation. - Working closely with BA's and system owners for model development. - Strong understanding of data analytics and enterprise-level data architecture, which is used to consolidate model development and model monitoring information. - Support business reporting and analytics function in generating bespoke reports from credit approver and rating system. Key Requirements: - 3+ Years of experience in model development, model validation and model management. - Understanding of Stress testing/ sensitivity testing - Good Understanding of Fair Lending models/ ML Model techniques and tests - Experience in risk requirements as related to scorecards and IFRS9/ CECL/ HMDA - Fair Lending. - Strong understanding of credit risk and model development/validation. - In-depth knowledge of model development and validation, including data extraction and pre-processing, modular model development, user acceptance testing and model performance assessments of: - IFRS9 models: staging, PD, EAD, LGD - Risk scorecards and frameworks - Large corporates, Mid-market and SME portfolios. - Credit decisioning and Early Warning Risk Models - Good programming skills in Python. Transferrable knowledge from R or SAS. - Knowledge of SAS EG and ECL will be an added advantage.

Posted 2 months ago

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