Lead - Risk/Senior Lead - Risk

Developing and maintaining databases, data systems - reorganizing data in a readable format
Working with Product Process owners to identify process improvement opportunities, propose system modifications, and develop data level new reports.
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Performing analysis to assess quality and meaning of data.
Enabling Business team to take important decisions based on various data facts and trends.
Making Dashboard in Power BI.
To handle RCU Data unit and get fulfilled all data requirement within time.
Provide training to team members.

4. MAJOR CHALLENGES
(Challenges faced on an on-going basis in carrying out the job)
To make good understanding of new Data sources/tools like EDW /Data bricks / objects.
Study of Existing data variables of across all products

5. DECISIONS
(Key decisions taken by job holder at his/her end)
Introduce new data tools or new reports/dashboard to control fraud.

6. INTERACTIONS
(Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job)

Internal Clients
Roles you need to interact with inside the organization to enable success in your day to day work
Connect with all Product Process owners for making reports/dashboard.

External Clients
Roles you need to interact with outside the organization to enable success in your day to day work
NA

7. DIMENSIONS
(Key numerical data which will reflect the scope and scale of activities concerning this job)

Financial Dimensions (FY 19)
(These should be quantifiable numerical amounts)
NA

Required Qualifications and Experience
Educational Qualifications
Qualifications
Minimum Qualification: Graduation (BE/ BTech/ MCA preferred)
Strong mathematical skills to help collect, measure, organize and analyze data
Work Experience
Should at least have 6-7 years of experience in Banking industry.
Proven working experience in data analysis
Knowledge of programming languages like SQL, and Python.
Good experience in data visualization software like Power BI.