Job Description

ELIGIBILITY CRITERIA:

Senior Officer Level

Minimum Bachelor’s Degree in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 4 years of related work experience Or

Master’s Degree in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 3 years of related work experience

Officer Level

Minimum Bachelor’s Degree in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 3 years of related work experience Or

Master’s Degree in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 2 years of related work experience

Junior Officer Level

Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 2 years of related work experience

Senior Assistant Level

Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Information Technology/ Computer Science/ Computer Engineering/ Management/ Finance/ Statistics with at least 1.5 years of related work experience 

Age Limit

Officer/ Senior Officer Level: Age not exceeding 40 years as on application deadline

Senior Assistant/ Junior Officer Level: Age not exceeding 32 years as on application deadline 

JOB PROFILE:

1. Responsible for working with Bank’s stakeholders to identify opportunities for leveraging Bank’s data to drive business solutions for the Bank
2. Responsible for analyzing and mining of data from Bank’s database to drive optimization and improvement of product development, marketing techniques and business strategies of the Bank
3. Assess the effectiveness and accuracy of new data sources and data gathering techniques
4. Develop custom data models and algorithms to apply to data sets
5. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
6. Develop analytical framework and test model quality as required
7. Coordinate with different functional teams to implement models and monitor outcomes
8. Develop processes and tools to monitor and analyze model performance and data accuracy
9. Function as a liaison between Digital Banking vendor/service provider and the Banking Services Team for support and project delivery processes
10. Collaborate with Enterprise Project Management Office (EPMO) on new initiatives for channel
11. Remain updated on architecture, configuration and various system components (releases) for the Bank’s digital applications, including interfaces & dataflow of vendor components
12. Maintain confidentiality of Bank customers
13. Adhere to all regulatory requirements of the Bank
14. Execution of any other assignments as advised by Senior Executives or immediate supervisor 

REQUIRED JOB KNOWLEDGE AND EXPERTISE:

1. Professional experience in Relational DataBase Management Systems (RDBMS), Data Mining and Big Data
2. Professional experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
3. Professional experience working with and creating data architectures and preferred knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Expert knowledge is not required.
4. Professional experience in visualizing/presenting data to Bank’s stakeholders using Power BI, Periscope, Business Objects, D3, gplot, etc. Expert knowledge is not required.
5. Professional experience working with cloud/hybrid based BI platforms and data warehouses
6. Knowledge of advanced statistical techniques and concepts (GLM/regression, properties of distributions, statistical tests, Random Forest, Boosting, Trees, text mining, social network analysis and proper usage, etc.) and web services: Redshift, S3, Spark, DigitalOcean, etc. Expert knowledge is not required.
7. Knowledge on third party analyzing data will be an added advantage like Google Analytics, Site Catalyst, Core metrics, AdWords, Crimson Hexagon, Facebook Insights, etc, & distributed data/computing tools. Expert knowledge is not required.
8. Knowledge of Machine learning algorithms will be an added advantage
9. Strong problem solving skills with an emphasis on product development
10. Strong interpersonal & communication skills (verbal + written) with handling information confidentially and within compliance
11. Good knowledge of Office 365 tools and able to present as per need 

The Bank reserves the right to reject any/all applications without assigning any reason whatsoever. Depending upon the number of application received, the Bank may revise the minimum criteria as stated above and call only shortlisted candidates for further selection process.

Only candidates getting through the initial screening will be contacted for further selection process. Canvassing at any stage of the processes shall lead to disqualification of the candidate for this vacancy and any future recruitment process.

No Telephone queries will be entertained. Application received from any other medium other than Bank's website shall be disqualified.