| Post Name |
Age Linit |
Posts |
Education Qualification |
| Information Technology/I |
21-30 Years |
26 |
4 year Engineering Degree in Computer Science/ Computer Application/ Information Technology/ Electronics/ Electronics & Telecommunications/ Electronics & Communication/ Electronics & Instrumentation |
| Security officer / III |
26-45 Years |
01 |
Graduate Degree in any discipline from recognized university or any equivalent qualification recognized as such by the Central Government
Ex-Commissioned officers of the Rank of Lt Col / Major / Capt or above from Indian Army with minimum 10 years service or equivalent rank from Air Force, Navy and Para Military Forces. |
| Security Officer /I |
26-45 Years |
09 |
Should be a graduate and Medical category Shape 1 Computer Literacy: Operating and working knowledge in Computer system like MS Office(Word, Excel, PPT, etc)
Ex-junior Commissioned Officers with minimum 5 years service as JCO in Indian Army or equivalent rank from Air Force, Navy and Para Military Forces. |
| Risk Manager / III |
21-35 Years |
06 |
MBA in Finance or / & Banking or its equivalent / Postgraduate diploma in banking or / &Finance or its equivalent / Post Graduate in Statistics Preferable professional qualification: FRM / CFA / Diploma in Risk Management
Minimum 2 years post qualification experience in Risk Management / Credit / Treasury / ALM |
| Risk Manager/II |
21-30 Years |
06 |
B.Tech./MCA with MBA (Finance) from AICTE / UGC approved University/ College with an aggregate of 60% Marks. |
| Financial Analyst/II |
21-30 Years |
10 |
A pass in final examination of the Institute of Chartered Accountants on India(ICAI)/ Institute of Cost and Works Accounts of India (ICWAI)
For candidates with MBA(Finance)-3 years of experience in public sector bank/undertaking. |
| Economist/II |
21-30 Years |
01 |
A minimum of 2nd Class Post Graduate degree in Economics/ Econometrics/Rural Economics with an experience of minimum 3 years in data collection, economic analysis or research |
| CDO /Chief Data Scientist / IV |
28-35 Years |
01 |
Bachelor‟s degree in Engineering/Science/Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Maths, Operations Research, Physics, Data Science fields)
8-10 years of industry experience in data science or business analytics roles out of which at least 5 years of experience in the Banking / Financial services domain. Expert knowledge in quantitative methods for business and advanced data science. Experience and having knowledge across a broad range of modern data science and analytics tools (e.g., R, Python, SAS, Hive, MatLab, SQL, Pig, Spark, Hadoop) |
| Data Analyst / III |
26-35 Years |
03 |
Bachelor‟s degree in Engineering/Science/Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Maths, Operations Research, Physics, Data Science fields)
Minimum 5 years of industry experience in data science or business analytics roles/IT Sector out of which minimum 3 years of experience in Banking/Financial services domain, Good knowledge in various statistical modeling tools. Experience having knowledge across a broad range of modern data science and analytics tools (e.g. R, Python, SQL, NoSQL, HTML, Javascript, C/C++, XML) |
| Analytics-Senior Manager/III |
26-35 Years |
02 |
Bachelor‟s degree in Engineering/Science/Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Maths, Operations Research, Physics, Data Science fields)
Minimum 5 years of industry experience in data science or business analytics roles/IT Sector out of which minimum 3 years of experience in Banking/Financial services domain, Good knowledge in various modeling tools. |
| Data Engineer /III |
26-35 Years |
02 |
Bachelor‟s degree in Engineering/Science/Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Maths, Operations Research, Physics, Data Science fields)
Minimum 5 years of industry experience in data science or business analytics roles/IT Sector out of which minimum of 3 years of experience in the Banking/Financial services domain. Expert knowledge in quantitative methods for business and advanced data science. Experience having good knowledge across a broad range of modern data science and analytics tools (e.g., R, Python, SAS, Hive, Mat lab, SQL, NoSQL, Pig, Hadoop, Java, C/C++, SPSS, Ruby, Perl) |
| Data Architect / III |
26-35 Years |
02 |
Bachelor‟s degree in Engineering/Science/Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Maths, Operations Research, Physics, Data Science fields)
Minimum 5 years of industry experience in data science or business analytics roles/IT Sector out of which minimum of 3 years of experience in the Banking/Financial services domain. Expert knowledge in quantitative methods for business and advanced data science. Experience having good knowledge across a broad range of modern data science and analytics tools (e.g., R, Python, SAS, Hive, Mat lab, SQL, NoSQL, Pig, Hadoop, Java, C/C++, SPSS, Ruby, Perl) |
| Credit officers / III |
26-35 Years
(General),26-38 Years (for Reserved
Category) |
05 |
CA/CFA/ ACMA/, MBA(Finance), MBA finance should be from recognized college/institute completed full-time regular course. Additional qualification preferably: JAIIB, CAIIB
CA/CFA/ ACMA – 2 years & above (Post Qualification Experience) of PSBs, Fis, Credit Rating Agencies & NBFCs (Aluminum Rs.10000 crore) in Corporate Credit Appraisal / Assessment. |
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