Central Bank of India SO 2019 Recruitment

Post Name:  Central Bank of India SO 2019 Recruitment

Post Information:
CBI (Central Bank of India), a leading Public Sector Bank, with Pan India Branch Network of nearly 4650 branches, with total business of more than Rs.4,80,000 Crores and driven by talented work force of 34500+ employees. CBI (Central Bank of India) is inviting applications from eligible candidates. This year this bank declared the vacancies for different posts of SO (Specialist Officers). Interested candidates who wants to fill for this vacancy, go through the full official notification before applying.

Age Limit:
Varies Posts to Posts

Educational Qualification & Vacancy Details:

S.No.Post / ScaleAgeQualificationExperience
1Information Technology21 years to 28 years4 year Engineering Degree in computer Science/ Computer Application/ Information Technology/ Electronics/ Electronics & Telecommunications/ electronics & Communication/ Electronics & Instrumentation OR Post Graduate degree in computer Science/ Computer Application/ Information Technology/ Electronics/ Electronics & Telecommunications/ electronics & Communication/ Electronics & Instrumentation from a University/Institution/Board recognized by Govt. of India or approved by Govt. registered body OR Graduate having passed DOEACC “B” level.NA
2Security officer26-45 YearsGraduate Degree in any discipline from recognized university or any equivalent qualification recognized as such by the Central GovernmentEx-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.
3Security Officer26- 45 yearsShould 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.
4Risk ManagerMinimum Age 21 Years & Maximum 35 YearsMBA in Finance or / & Banking or its equivalent / Post graduate diploma in banking or / &Finance or its equivalent / Post Graduate in Statistics Preferable professional qualification: FRM / CFA / Diploma in Risk ManagementMinimum 2 years post qualification experience in Risk Management / Credit / Treasury / ALM
5Risk Manager21 years to 30 yearsB.Tech./MCA with MBA (Finance) from AICTE / UGC approved University/ College with aggregate of 60% Marks.

OR

M.Sc. Maths from AICTE / UGC approved University/ College with aggregate of 60% Marks.

OR

M.Sc. Statistics from AICTE/UGC approved University/ College with aggregate of 60% Marks.

OR
MBA (Finance) or its equivalent from AICTE / UGC approved University/ College with aggregate of 60% Marks. Preferable professional qualification: FRM / CFA / Diploma in Risk Management

NA
6Financial Analyst21 years to 30 yearsA pass in final examination of the Institute of Chartered Accountants on India(ICAI)/ Institute of Cost and works Accounts of India (ICWAI)    OR
MBA with specialization in Finance from a reputed institute with minimum 3 years of experience as an officer in a Public Sector Bank/ Undertaking in the reputed field
a. For CA/ICWAI candidates-NIL
b. For candidates with MBA(Finance)-3 years of experience in public sector bank/undertaking.
7Economist21 years to 30 yearsA 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 research3 years of Experience in data collection, economic analysis or research
8CDO /Chief Data ScientistMinimum Age 28 Years & Maximum 35 YearsBachelor‟s degree in Engineering/Science/Advanced degree preferred in 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 Banking / Financial services domain. Expert knowledge in quantitative methods for business and advanced data science. Experience and having knowledge across broad range of modern data science and analytics tools (e.g., R, Python, SAS, Hive, MatLab, SQL, Pig, Spark, Hadoop)
9Data Analyst26-35 YearsBachelor‟s degree in Engineering/Science/Advanced degree preferred in 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 broad range of modern data science and analytics tools (e.g. R, Python, SQL, NOSQL, HTML, Javascript, C/C++, XML)
10Analytics-Senior Manager26-35 YearsBachelor‟s degree in Engineering/Science/Advanced degree preferred in 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.
11Data Engineer26-35 YearsBachelor‟s degree in Engineering/Science/Advanced degree preferred in 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. Expert knowledge in quantitative methods for business and advanced data science. Experience having good knowledge across 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)
12Data Architect26-35 YearsBachelor‟s degree in Engineering/Science/Advanced degree preferred in 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. Expert knowledge in quantitative methods for business and advanced data science. Experience having good knowledge across 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)
13Credit officers26-35 Years (for General Category), 26- 38 Years (for Reserved Category)CA/CFA/ ACMA/, MBA(Finance), MBA finance should be from recognized college / institute completed full time regular course. Additional qualification preferablly: JAIIB,CAIIBCA/CFA/ ACMA – 2 years & above (Post Qualification Experience) of PSBs, Fis, Credit Rating Agencies & NBFCs (Aluminum Rs.10000 crore) in Corporate Credit Appraisal / Assessment. MBA(Finance) – 4 years & above (Post Qualification Experience) of PSBs, Fis, Credit Rating Agencies & NBFCs (Aluminum Rs.10000 crore) in Corporate Credit Appraisal / Assessment.

 

 

Application Fees:
Schedule Caste/Schedule Tribe candidates : Rs.50/-
All Other Candidates: Rs.550/-
(GST @ 18% extra will be charged on application fee & intimation charges)

Important Dates:
 Opening Date for On-line Registration: 30-10-2019
Closing Date for On-line Registration (Including for Candidates from Far-Flung Areas): 21-11-2019
Downloading of Call Letters for Test: 11-12-2019
 Tentative Date of On-line Examination*: 21-12-2019

 

Important Links

Apply Online

Click Here

Notification

Click Here

Official Website

Click Here

 

 

 

 

 

 

 

 

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