Business Analytics - Team Lead

ROLE SUMMARY

Lead a Data Science and Analytics team to deliver business value across Banking businesses, including CASA/Retail Assets/Credit cards/ MSME/WB/DB/Marketing / Operations/Finance, through modelling, actionable business insights, strategic decision support, scorecards, process enhancements, customer value management and campaign enablement, etc.

KEY RESPONSIBILITIES/ ACCOUNTABILITIES

Strategic/ Managerial Responsibilities

• Leading a data analytics team and strategically enhance value creation and delivery through data science and analytics for various business functions.
• Driving technology enablers for data science and analytics.

Core Responsibilities

• Anchor analytical engagement with individual business teams, like Retail Liabilities, Credit Cards/Debit cards, Retail Assets, SME, Treasury & other functions.
• Channelize analytical decision support activities towards the business strategies by working closely with the respective businesses.
• Consult and provide analytics solutions to business unit leaders.
• Responsible for monitoring portfolio & identifying key matrices & publish to business stakeholders. Candidate will also be responsible for identifying acquisition strategies & cross sell strategies by working on bank’s transactional data as well as external data like bureau or third party.
• Define and establish performance monitoring framework and enable portfolio performance reviews with all stakeholders like business/credit/risk and collections.
• Responsible for the end-to-end deliveries across data support, campaigns, dashboards & analytical models.
• Stakeholder relationship management & control aspects of analytical project delivery

Self-Management Responsibilities

• Provide analytic thought leadership.
• Manage project planning effectively.
• Creative problem-solving skills.

Risk and Internal Control Responsibilities

Structured outcomes, correctness, consistency, depth of results.

KEY INTERACTIONS

Purpose of Interaction

Business Team

Understanding and resolving business problems and building new value-added initiatives

Analytics Team

Collaborative teamwork & knowledge gaining

Technology Teams

Identifying and understanding new data sources available with the bank

Purpose of Interaction

Bureaus

Working on bureau data & incorporating data insights

KNOWLEDGE

Minimum Qualifications

• Tier I/II MBA grads , MSC Statistics or Econometrics
• Finance /Marketing/ Quantitative Methods
• Statistical model development
• Leverage AL / ML technologies in Banking businesses

Professional Certifications

• SQL/SAS/Open Source/Impala/R/Python/Tableau/Excel/Hadoop

Language Skills

• Good communication and presentation skills

EXPERIENCE

Years of Experience

Candidate is required to have more than 14 years of relevant work experience in analytical work at a Bank

Nature of Experience

Proven experience as a Domain Expert within the banking industry,

Core Competencies

Behaviors

• Should be a subject matter expert in the domain of banking businesses and functions
• Demonstrated hands-on experience in working with diverse stakeholders and understand model development & management
• Working knowledge of R, Python or SAS is a must.
• Should be able to anchor stakeholder engagements at the leadership level of the bank.
• Very strong presentation & communication skills

Leadership Competencies

Behaviors

• Ensures Ongoing training to direct reports
• Clear and openly communicating goals and objectives & constant monitoring of achievement
• Positive and focused