AVP/ VP - Analytics

AVP/ VP - Analytics

2 Nos.
6064
Full Time
7.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 29.00 LPA
Job Description:

Analytics Job Description

 

 

Job Title

Analytics – AVP/ VP

Function / Department

Analytics & Information Management

Reporting Manager

SVP, Head - Analytics & Information Management

 

Purpose of the Job:

 

 

·         Provide analytics support for all FICC portfolios on as needed basis

·         Enable analytics driven decision making across the risk, business and collections

 

Describe the KPIs against each perspective

 

Perspective

Key Performance Indicators

Business

  • Devise scorecard and model driven strategies across all products.
  • Develop expertise to implement scorecards in scoring engines.
  • Track all scorecards’ performances and highlight to management in case of any breaches/actions required.
  • Analyze bureau information to recommend strategies for use in the current decision making framework.
  • Prepare any adverse trends in portfolio performance.
  • Help establish a clear risk-reward measurement based customer strategy with a pricing framework

Customer Focus

Internal customers will be across levels –

  • Product risk managers & business managers
  • Risk & business heads

People / Team

·         Establish and develop a highly-skilled and motivated team to meet the growing needs of the business.

Process / Quality Improvement

  • Continuously work with business, policy, finance and technology teams to improve strategies, identify and plug leakages and drive automated decision making.

 

SCOPE & DISCRETION (Span of control)

 

Total no. of employees supervised with details

 

Grade

O1 to O4

M1 to M3

SM1 to SM3

Nos.

1-2

1-2

 

 

Total            : 2 - 4

 

Sr. No.

Direct Reportees

(functional title/role title)

Indicate brief job purpose

1

Asst Manager / Manager, Analytics

Develop data-driven models & strategies across products

          

Decision making authority

 

Describe the authority permitted to take decisions, and those you are expected to recommend

 

Area

Decisions taken

Decisions recommended

Business & risk strategies

 

Design data driven strategies including but not limited to scorecard cutoffs, bureau based policies, automated decision making processes etc.

 

Self deliverables

 

The most important tasks performed on an individual basis without involving subordinates are

 

Sr. No

Task performed

1

Prepare management summary and present to senior management all analytic outputs and business recommendations

2

Collaborate with product and policy managers across businesses

3

Lead analytic thought leadership and guide team-members

4

Function as a project manager on key analytic deliverables

 

 

Impact

 

Describe the Impact the work can have on financials & highest geography egg. Branch, Region or highest Department e.g. within own department, across organization

 

Value Influenced    

 

1

Revenue

 

2

Expenses

 

3

Size of Loan

 

4

Credit Approval

 

5

Customers

 

6

Expense Authorization

 

7

Any other

Support role to help decision makers across all levels.

 

Degree Influenced 

 

Geography  : Across the organization

 

Departments               : Risk, Business

 

Challenge

 

Challenge on working relationships, both internal & external contacts

 

Sr. No

Most frequent contacts

Nature or purpose

1

Businesses/Business marketing

Internal customer

2

Premises & Admin

 

3

Creative Agencies

 

4

Media Agencies

 

5

Event Management Agencies

 

6

Activation Agencies

 

 

 

Other factors relevant to the job

 

Other aspects of the job not covered by the above but necessary to have a full understanding of it are: (add additional sheets if required)

 

 

 

Sr. No

Other relevant factors (Required Skills)

1

Strong communication – verbal & written

2

Extensive exposure to advanced analytics – scorecard development and management, return on risk weighted assets etc

3

Exposure to asset business in a bank / FI

4

Advanced user of analytic tools (SAS strongly preferred)

 

 

 

 

Expertise required/ Domain Knowledge:

 

Experience of working in asset business in a bank / FI preferred

Experience of working as analytic consultant in a 3rd party / offshore setup, but with strong understanding of the assets business can also be considered

Analytics tool experience (SAS preferred)

 

No. of years of relevant experience:               

 

7-9 years of experience in analytics in the financial services domain

 

Any specific specialization/education:

 

Post graduate in Statistics/Economics/Mathematics preferred

Incumbents with a Tech/MBA degree having worked in a bank/FI analytics function and experienced on advanced analytics.

Key Skills :
Company Profile
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