Lead Data Scientist - Credit Risk & Fraud Analytics in New Delhi, India

... assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain. Develop high ...

Job Requirements Credit Manager Area Credit Manager will be responsible for overseeing the credit assessment and underwriting process for loan applications related to property. Responsibilities: Evaluate and analyze credit data and financial statements to determine the creditworthiness of loan applicants Develop and implement ...

... bring We are looking for an experienced Data Governance Lead who can improve business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance ...

... Management Leaders to bespoke Bert Labs Foundational AI models for different manufacturing plants and buildings.- Collaborate with front-end developers to integrate analytics.- Collaborate with backend developers to help them create high performing distributed computing software modules.- Entrepreneurial Leadership role, where in ...

Full time Local area

... libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience with ...

... Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. As a Data Scientist at Avahi, you'll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal ...

... composable platform, Aera empowers organizations to optimize and automate all types of decisions, across every business area. We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will ...

About the Role : We are looking for a Data Scientist who combines strong machine learning fundamentals with a hands-on, exploratory mindset. In this role, you will own the full lifecycle of machine learning solutions - from framing the business problem and exploring data to building models and deploying them into production. ...

... tested, well-documented code (Git) and an understanding of latency, monitoring, and https://jobeax.com/link/CiyBkuFjYPA81cj6 skills :- Mobility & foot-traffic analytics: Working with smartphone/mobility data for catchment, footfall, and movement patterns.- NLP for unstructured/web-listed data: Extracting structure from text-based ...

... sales (information services, risk/credit analytics, collections, fintech/SaaS, or adjacent) Stakeholder Selling: Comfortable navigating Finance, Procurement, Risk, Legal, IT/InfoSec and presenting at CXO/VP level with manager support. Nice to Have: BFSI exposure, familiarity with BIR/KYB, collections, or credit-risk workflows. ...

... framework for governance documents. The Manager, Model Validation is responsible for model validation focusing on Loss/reserve/recovery/ forecast to Customer facing credit risk/Fraud risk models (Account acquisition and Account management) , and other models and ensure they are meeting the related Model Risk Management policies, ...

... comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data management products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; financial management; Perform role of Data Team Lead (DTL). Comply with Good Clinical ...

... explainability- Establish data governance framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external ...

... May be a Good Fit if: - Significant hands-on experience in credit risk model development, model validation, IFRS 9/ECL modelling, credit analytics or related risk advisory functions. - Strong proficiency in Excel and Python for statistical analysis, model development and validation. - Deep understanding of credit risk methodologies, ...

... • Strong hands-on experience in SAP FSCM Credit Management • Experience in SAP Credit Management configuration and implementation • Strong understanding of credit management processes and business requirements • Experience with credit exposure, credit limits and risk categories • Knowledge of credit checks and credit decision ...

Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...

... Credit Manager plays the role of executing risk and credit operations in line with established guidelines and norms, and securing the organization against diverse risks in local business operations via process measures and checks. This role is responsible for ensuring robust and efficient creditworthiness and risk assessment. ...

... role in securing the organization against diverse risks in the course of business operations. This role is responsible for setting up requisite underwriting and risk management frameworks and processes for robust and efficient creditworthiness and risk assessment, and consequent inputs for business decisions (loan approval/ ...

... ultimately minimizing financial risk and maximizing profitability for the lending institution. *Credit Assessment: Reviewing loan applications, financial statements, credit reports, and other relevant documents to assess a business's creditworthiness. ~ Risk Analysis: Identifying potential risks associated with lending to specific ...