The Credit Manager will manage credit proposals, assess risks, implement policy changes, and ensure internal controls to address gaps. Customer interactions and monitoring of NPAs are essential.
- Training & Knowledge Sharing
- Stakeholders Management
Responsibilities1) Appraise/Recommend/ Approve Credit Proposals as per the delegation of authority.
2) Review delinquent cases and document learnings / portfolio reviews for Risk Management
3) Recommend changes to Policy, Process based on local nuances / competitor feedback
4) Implement system integration plans
5) Monitor NPA and keep a track of it
6) Customer visits for PD
7) Identification of process and policy gaps & potential risk arising out of it.
8) Suggesting internal control measures and ensures implementation to address such gaps
Experience Range : 5 to 8 Years
Qualifications :
Graduate (Any Specialisation)
CA
MBA
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads and develops a distributed software engineering team responsible for a customer-deployed virtual appliance. Owns engineering execution, architecture guidance, roadmap delivery, Scrum practices, reliability, incident response, vulnerability remediation, hiring, and team development. Requires technical fluency in Linux, virtualization, containers, customer-installed software, SaaS connectivity, and AI/LLM tools, while partnering closely with Product Management and cross-functional engineering teams.
Top Skills:
Ai And Llm ToolsContainerizationGoLinuxScrumVirtualization
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Develop data science and AI solutions using Python and Django, including data collection, labeling, curation, feature engineering, classical machine learning, and generative AI. Deploy models to production using CI/CD, Airflow, and MLflow; automate modeling pipelines and monitor model drift. Collaborate with stakeholders in Agile Scrum teams, improve testing and automation practices, and analyze business requirements.
Top Skills:
AgileAirflowCi/CdDjangoHadoopMlflowPandasPythonScrumSparkSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Build and industrialize reliable, scalable AI solutions and production ML pipelines. Bridge data science and IT production teams, manage Python environments, data sourcing, MLOps, model deployment, Airflow orchestration, Denodo integration, CI/CD, containerization, monitoring, security, and automation. Collaborate with international teams and promote testing, code quality, and technology improvements.
Top Skills:
AgileAmazon S3Apache AirflowBashDenodo PlatformDjangoDockerElkGitlab Ci/CdGrafanaHadoopJenkinsKafkaKibanaKubeflowKubernetesLinuxMambaMicromambaMlflowMlopsPipPostgresPythonScrumSparkUvVql
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.


