Tamilnad Mercantile Bank Ltd. (TMB) Recruitment 2026

Tamilnad Mercantile Bank Specialist Officer IT Recruitment 2026

Tamilnad Mercantile Bank Ltd. has announced recruitment for Specialist Officer (IT) positions. Eligible candidates are required to submit their applications online through the Bank's designated online application portal. The Bank has specifically instructed candidates to apply only through the online mode and has stated that no other mode of submission will be accepted.

Important Dates

Application Process

1. Visit the TMB online careers and application portal.
2. Create a User ID and register using a correct email ID and mobile number.
3. Complete the online e-application with the required information.
4. Submit the online application within the prescribed application period.

Specialist Officer IT Positions

The notification content provided for the Specialist Officer (IT) recruitment includes the following designations:

• Head Analytics & AI
• IT Infrastructure – Lead Systems/Servers
• Data Scientist/Statistician – Head Analytics & AI/ML
• IT Infrastructure – Data Center Manager
• Senior Software Engineer – Data Science, Statistics & Machine Learning
• Senior Software Engineers – Programmers/Developers
• Senior Software Engineer – Testing & Quality Assurance
• Software Engineer – Data Analyst with AI/ML Modelling

Head Analytics & AI

Educational Qualification

• M.E. in Computer Science
• B.E. in Computer Science
• B.Tech in Computer Science
• MCA
• The qualification should be from a reputed University.

Experience Requirements

• Minimum 20 years of relevant working experience in software solutions.
• Out of the total experience, a minimum of 5 years of Banking Domain expertise is required.
• Experience in building Advanced Analytical Models.
• Experience in model validation.
• Experience in model validation and fine tuning.

Role

• Spearhead the bank's data-driven transformation.
• Lead a high-performing team of data scientists.
• Lead a high-performing team of data engineers.
• Lead a high-performing team of Business Intelligence analysts.

Skill Sets

• Sound skill set in developing AI/ML models.
• Predictive analytics.
• Generative AI frameworks.
• Optimization of risk management.
• Customer experience optimization.
• Maximization of operational efficiencies.
• Adherence with Risk & Compliance requirements.
• Advanced proficiency in handling large data sets.
• Experience with structured and unstructured data.
• Experience in setting up Data Lake environments.
• Working expertise as a Data Scientist.
• Working expertise as a Data Statistician.
• Expert SQL querying on databases including Oracle and MSSQL.
• Data mining activities.
• Expertise in Vector Databases.
• Expertise in RAG Systems.
• Deployment and working knowledge in Enterprise and AI tools.
• Working experience with SAS Viya.
• Working experience with IBM CP4D.
• Experience with R for statistical analysis and data manipulation.
• Experience with Python for statistical analysis and data manipulation.
• Model evaluation.
• Model fine tuning.
• Model explainability.
• Data Storytelling.
• Model refinement.

IT Infrastructure – Lead Systems/Servers

Educational Qualification

• M.E. in Computer Science
• B.E. in Computer Science
• B.E. in Information Technology
• MCA
• Equivalent degree from a reputed University.

Experience

• Minimum 10 years of relevant working experience.
• Out of this, 5 years of experience as Lead System/Server Administrator.

Desirable Experience and Skills

• Strong exposure in Server Maintenance and Storage.
• Database Management.
• Network maintenance.
• Active Directory Domain.
• Good understanding of IT Infrastructure of a Bank / BFSI.
• Experience in managing a 24/7 IT Infrastructure team.
• Knowledge of Server Maintenance.
• Knowledge of Database.
• Knowledge of Network Architecture.
• Knowledge of Datacenter.
• Knowledge of VMWare.
• Knowledge of Storage.
• Knowledge of OpenShift / Kubernetes.
• Knowledge of Middleware.
• Knowledge and experience in Oracle databases.
• Knowledge and experience in MS SQL databases.
• Knowledge and experience in PostgreSQL databases.
• Windows Server administration.
• AIX administration.
• Linux Operating System administration.
• Knowledge and experience in virtualization technologies such as VMware ESXi.
• Knowledge and experience in Microsoft Hyper-V.
• Knowledge and experience in Nutanix.
• Experience with containerized platforms such as OpenShift / Kubernetes is desirable.
• Knowledge of Cloud computing is preferred.

Preferred Certifications

• RHCSA
• MCP
• VCTA
• Nutanix
• NKP Certified Professional

Data Scientist/Statistician – Head Analytics & AI/ML

Educational Qualification

A Bachelor's or Master's degree in any of the following disciplines or a related discipline:

• Computer Science
• IT
• AI & ML
• AI & DS
• Statistics
• ECE
• EEE
• Mathematics
• Applied Mathematics
• Operations Research
• MCA
• Related discipline

Desirable Qualification

Ph.D. in Data Science, Statistics, Artificial Intelligence, Computer Science, Machine Learning, Operations Research, or related quantitative disciplines.

Experience

• Minimum 10 years of experience in Data Science, Statistics, Artificial Intelligence, Machine Learning, Predictive Analytics, or Enterprise Analytics.
• Experience is preferably in the BFSI sector.
• At least 5 years in a leadership role managing analytics, AI, or data science teams.
• Experience in designing enterprise-scale AI/ML solutions.
• Experience in developing enterprise-scale AI/ML solutions.
• Experience in deploying enterprise-scale AI/ML solutions.
• Experience in building predictive models to forecast future outcomes.
• Experience in statistical modelling.
• Experience in predictive analytics.
• Experience in optimization.
• Experience in model governance.
• Experience in AI/ML platforms.
• Experience in MLOps.
• Experience in stakeholder management across business and technology functions.

Other Skills

• Excellent problem-solving skills.
• Excellent analytical skills.
• Strong communication skills.
• Strong interpersonal skills.

IT Infrastructure – Data Center Manager

Educational Qualification

• B.E. in Computer Science
• B.Tech in Computer Science
• B.E. in Information Technology
• B.Tech in Information Technology
• MCA
• Equivalent degree from a reputed University.

Experience

• Minimum 5 years of working experience in Datacenter.
• Out of this, 2 years of experience as Data Center Manager.
• Experience is preferably from the Banking/FinTech industry.

Desirable Experience

• Preferably from Banking/FinTech industry.
• Ensure 24/7/365 availability of critical banking systems, servers, networks, and storage environments.
• Ensure high resiliency of critical banking systems, servers, networks, and storage environments.
• Oversee routine maintenance.
• Oversee hardware management.
• Oversee physical provisioning.
• Enforce strict security protocols and guidelines.
• Ensure absolute compliance with regulatory mandates.
• Coordinate regular data center audits.
• Implement corrective actions swiftly.
• Understanding of Change Management.
• Understanding of Incident Management.

Preferred Certifications

• Certified Data Center Professional (CDCP)
• RHCSA
• VCTA
• Nutanix Certified Professional

Senior Software Engineer – Data Science, Statistics & Machine Learning

Educational Qualification

• Bachelor's degree in Computer Science, IT, AI & ML, AI & DS, Statistics, MCA, or a related discipline.
• Master's degree in Computer Science, IT, AI & ML, AI & DS, Statistics, MCA, or a related discipline.

Experience

• Minimum 5 years of work experience in Software Engineering.
• Data Science experience.
• Machine Learning experience.
• Artificial Intelligence experience.
• Statistical Modelling experience.
• Advanced Analytics experience.

Desirable Experience

• Experience in developing machine learning models in production environments.
• Experience in deploying machine learning models in production environments.
• Python.
• SQL.
• R.
• Spark/PySpark.
• Cloud platforms such as Azure, AWS, and GCP.
• BI tools such as Power BI or Tableau.
• Experience in building predictive models to forecast future outcomes.
• Excellent problem-solving skills.
• Excellent analytical skills.
• Strong communication skills.
• Strong interpersonal skills.

Preferred Skills

• Statistical Analysis and Predictive Modelling
• Machine Learning and Deep Learning
• Generative AI concepts
• Data Engineering and ETL
• Data Visualization
• Banking and Financial Analytics
• Credit Risk
• Fraud Analytics
• Customer Analytics

Senior Software Engineers – Programmers/Developers

Educational Qualification

• Bachelor's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, MCA, or a related discipline.
• Master's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, MCA, or a related discipline.

Experience

• Minimum 5 years of work experience in software development.
• Experience in application programming.
• Experience in enterprise application support.
• Experience is preferred in BFSI or large IT organizations.

Technical Experience

• Experience in developing enterprise applications using Java, .NET, Python, or similar technologies.
• Experience with relational databases including Oracle, SQL Server, PostgreSQL, or MySQL.
• Experience with REST APIs.
• Experience with web services.
• Experience with system integration.
• Experience with Git-based version control.
• Experience with SDLC practices.

Competencies

• Strong programming skills.
• Strong debugging skills.
• Knowledge of object-oriented design.
• Knowledge of design patterns.
• Understanding of secure coding.
• Understanding of application security.
• Problem-solving skills.
• Analytical skills.
• Good communication skills.
• Teamwork.
• Ability to manage multiple assignments.
• Ability to meet deadlines.
• Experience with CI/CD pipelines.
• Experience with DevOps practices.

Senior Software Engineer – Testing & Quality Assurance

Educational Qualification

• Bachelor's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, MCA, or a related discipline.
• Master's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, MCA, or a related discipline.

Experience

• Minimum 5 years of work experience in software development.
• Experience in application programming.
• Experience in enterprise application support.
• Experience is preferred in BFSI or large IT organizations.
• Experience in manual testing of enterprise applications.
• Experience in automated testing of enterprise applications.
• Experience in preparing test plans.
• Experience in preparing test cases.
• Experience in test execution.
• Experience in defect management.
• Experience in API testing.
• Experience in database testing.
• Experience in web application testing.
• Experience with test automation frameworks.
• Experience with CI/CD integration.

Technical Skills

• Functional Testing
• Regression Testing
• System Integration Testing (SIT)
• User Acceptance Testing (UAT)
• Automation Testing
• Git
• Jira
• Test Management Tools including ALM, Zephyr, and TestRail
• Linux/Unix
• CI/CD pipelines
• Postman
• REST Assured for API Testing

Banking Domain Knowledge

Banking Domain Knowledge is preferred.

Software Engineer – Data Analyst with AI/ML Modelling

Educational Qualification

• Bachelor's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, AI & DS, MCA, or a related discipline.
• Master's degree in Computer Science, IT, ECE, EEE, Software Engineering, AI & ML, AI & DS, MCA, or a related discipline.

Experience

• Minimum 5 years of work experience in Data Analytics.
• Data Science experience.
• AI/ML experience.
• Software Development experience.
• Experience is preferred in BFSI.
• Experience is preferred in large IT organizations.
• Experience is preferred in enterprise analytics projects.
• Experience is preferred in digital banking platforms.

Technical Experience

• Experience in developing analytical models using Python, R, SQL, or similar technologies.
• Experience in data visualization and reporting tools.
• Experience in developing machine learning models.
• Experience in deploying machine learning models.
• Experience in data extraction, transformation, and loading (ETL) processes.

Analytical & AI/ML Skills

• Exploratory Data Analysis (EDA)
• Statistical Analysis
• Predictive Analytics
• Classification and Regression Models
• Clustering Techniques
• Time Series Forecasting
• Feature Engineering
• Model Evaluation and Validation
• Natural Language Processing (NLP) – desirable
• Model Deployment and Monitoring
• Data Visualization
• Data Storytelling

Age Limit

Cadre Details

Experience Summary by Position

Online Application Portal

Candidates are required to submit their online e-application through the TMB careers application portal:

TMB Online Careers and Application Portal

Reservation Details

Reservation details are not provided in the supplied notification content.

Application Fee

Application fee details are not provided in the supplied notification content.

Selection Process

The selection process is not specified in the supplied notification content.

Salary and Pay Details

Salary, base salary, pay scale, compensation, allowances, and benefits are not provided in the supplied notification content.

Job Location

The exact city, state, postal code, street address, and individual posting location are not specified in the supplied notification content.

Helpline and Contact Information

No helpline number, contact telephone number, contact email address, or other direct contact information is provided in the supplied notification content.

Important Instructions for Applicants

• Applications must be submitted only through the online mode.
• The online application registration period starts on 24 August 2026.
• The closing date for registering the online e-application is 06 September 2026.
• No other mode of submission of application will be accepted by the Bank.
• Candidates should register their correct email ID while creating the User ID.
• Candidates should register their correct mobile number while creating the User ID.
• Age for the advertised positions is calculated as on 31 July 2026.
• Several positions require substantial professional experience in specialized IT, software, analytics, AI/ML, infrastructure, data science, or related areas.
• Banking, BFSI, and FinTech experience is preferred for several positions as specified against the respective roles.

Specialized Skill Areas Mentioned in the Recruitment

The Specialist Officer (IT) recruitment covers a broad range of technical and managerial skill areas mentioned across the positions, including:

Professional Certifications Mentioned

• RHCSA
• MCP
• VCTA
• Nutanix
• NKP Certified Professional
• Certified Data Center Professional (CDCP)
• Nutanix Certified Professional

Technology and Tools Mentioned

• Oracle
• MSSQL / MS SQL
• PostgreSQL
• MySQL
• Python
• R
• Spark / PySpark
• Java
• .NET
• REST APIs
• Web Services
• Git
• Jira
• ALM
• Zephyr
• TestRail
• Postman
• REST Assured
• Linux / Unix
• Windows Server
• AIX
• VMware ESXi
• Microsoft Hyper-V
• Nutanix
• OpenShift
• Kubernetes
• SAS Viya
• IBM CP4D
• Power BI
• Tableau
• Azure
• AWS
• GCP

Official Online Application Link

Official Notification

View Official Notification PDF

Important Recruitment Disclaimer