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23/01 HR
DGM at SBI

Views:440 Applications:50 Rec. Actions:Recruiter Actions:0

SBI - Senior Executive - Statistics - Contractual Role (4-9 yrs)

Jaipur/Rajasthan Job Code: 789050

RECRUITMENT OF SPECIALIST CADRE OFFICERS IN SBI ON CONTRACT BASIS

ADVERTISEMENT NO: CRPD/ SCO/ 2019-20/ 18

ONLINE REGISTRATION OF APPLICATION & PAYMENT OF FEES: FROM 23.01.2020 TO 12.02.2020

State Bank of India invites Online application from Indian citizen for appointment to the following Specialist Cadre Officer posts.

Candidates are requested to apply Online through the link given on Bank's website https://bank.sbi/careers or https://www.sbi.co.in/careers

Candidates are advised to check Bank's website https://bank.sbi/careers or https://www.sbi.co.in/careers regularly for details and updates (including the list of shortlisted/ selected candidates). The Call Letter (letter/ advice), where required, will be sent by e-mail only (no hard copy will be sent).

Post : Senior Executive (Statistics)

Max. Age (as on 31.07.2019) : 35 Years

Contract Period : 3 years (renewable for further 2 yrs.)

Selection Process : Shortlisting & Interview

Likely Place of Posting : Jaipur

Educational Qualification :

- Post-Graduation in Statistics/ Maths/ Economics as full-time course from recognized Institute/ University with minimum 60% marks (or its equivalent).

- Additional qualification of MBA/ PGDBM/ B.Tech. will be advantageous.

Specific Skills Required :

Proficiency in :

- Statistical/ analytical software viz. SAS/ STATA/ SPSS.

- Programming language viz. R/ Python.

- Data analysis/ interpretation using SPSS/ SAS/ STATA/ R/ Python

Post Qualification Work Experience (as on 31/07/2019) :

Min. 4 years of experience in :

- Bank/ PSU/ Corporate in the field of data handling/ data analysis/ data interpretation using: advance statistical & analytical tools viz. SPSS/ SAS/ STATA

- Programming language viz. R/ Python.

- Experience in data analysis will be preferred.

Job Profile:

- Designing data acquisition trials.

- Designing & implementing models for fine tuning the existing scenarios.

- Designing, creation & implementation of predictive models to analyse trends from the historical, transactional, structured & unstructured data for better identification of risks and opportunities.

- Applying statistical methodology on complex big data to capture emerging trends in AML/ CFT

- Creation & implementation of models to analyse the AML/ CFT risk on the aspects suggested by FIU-INDIA, FATF, RBI, other Global entity etc.

- The scope of analysis will cover all aspect i.e. optimization, segmentation, tactical tuning, tasks and data modelling/ validation efforts depending on current needs and project plans.

- Fine tuning and optimization of the existing AML scenarios/ systems.

- Creation & fine tuning of scoring models for AML monitoring processes.

- Support threshold analysis, back testing, data profiling, data quality analysis, customer risk rating models, suspicious activity detection models, scenarios testing models, capacity planning.

- Follow globally consistent methodology and also taking high level of initiative and creativity to suggest enhancements to the current/ existing methodologies.

- Any other related work

KRAs :

- Prepare and validate data, and then build and validate a scoring model using logistic regression or other alternate quantitative methods.

- Conduct data driven analysis and create reports. Apply quantitative and qualitative data analysis methods, prepare statistical and non-statistical data exploration.

- Validate data, identify data quality issues (if any) and work with technology to address them. Analyse and interpret data reports, draw conclusions and make recommendations answering specific business needs.

- Document solutions & present results in a simple comprehensive way to non- technical audience as also prepare more formal documentation using statistical vocabulary.

- Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data, identify relationships and trends in data, as well as any factors that could affect the result of research, question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.

- Maintain an industry leading knowledge on the tools, systems and process available for the best in class AML Detection and monitoring operations.

- Any other related work

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Women-friendly workplace:

Maternity and Paternity Benefits

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