SVP - Business Analytics - Wholesale Banking/Treasury

Roles & Responsibilities - Corporate Banking Products, Corporate Digital, and Treasury ALM

Role mandate is to create best in class Business Analytics set-up for Corporate Banking Products such as Current Account, Cash Management Services (CMS), Trade Finance, and Forex Products which leverages knowledge of financials, business, systems & data engineering domains.

Understand the dynamics of balance sheet, cash flows & liquidity positions, rates across the bank, maturity profiles, daily P&L positions, and to recommend data driven optimization strategies. The end goal is to optimize product mix, ALM function, and improve the net margin of the bank which in turn helps optimize shareholder return.

This is team lead role. Incumbent will play the role of an internal consultant and is expected to take end-to-end ownership of a business vertical Wholesale Banking, Digital and Treasury.

Deliverables :

- Conduct analytics using raw data and generate insights to identify meaningful trends and opportunities for Corporate Banking Products.

- Leverage analytics to drive insights to optimize pricing/Channel mix for Current Account portfolio.

- Conduct profitability analysis of Current Account, CMS and Trade Finance products and generate actionable insights.

- Understand revenue and cost drivers for CMS and Trade Finance products and help Business maximize profits.

- Identify cross-sell opportunities for Current Accounts, CMS, and Trade Finance products.

- Provide analytical insights for prioritization, initiation, and development of digital journeys for Corporate Banking Products

- Use business analytics/ decision science to deliver a market-leading digital platform that offers basic and enhanced financial services for Corporate Banking Customers

- Identify personalized nudges which can be built in new digital journeys for Cross-sell or improve customer experience

- Monitor new website journey traffic, customer drop off funnel to aid in journey design

- Understand the dynamics of liquidity and balance sheet movement both internally and among peers, and stay on top of industry trends through external data sources

- Understand the effect of macroeconomic and geopolitical changes on liquidity, rate, currency movement and recommend suitable strategies

- Understand regulatory requirements such as SLR, CRR, HQLA, LCR; leverage bank-wide data infrastructure for effective daily monitoring; and recommend optimization strategies to reduce cost to bank / improve net margin

- Work with data engineering team to setup robust data infrastructure

- Expertise in design and delivery of Analytical Dashboards for Corporate Banking Products to help track Business performance.

What's in it for you?

- Intellectually Stimulating Work - Role provides an opportunity to work in a multi-disciplinary environment with lot of lateral learning opportunities

- Autonomy to Innovate - Analysts are both encouraged and expected to adopt 1st principle thinking, question existing practices, imagine possibilities and innovate on the existing suite of outputs.

- Hone your big picture thinking - Work closely with business leaders, see them in action and hone your big picture thinking skills

- Understand business & P&L like never before - Rub shoulders with product managers, pick their brains to enhance your Business and P&L understanding. Role also provides an opportunity to understand linkage between system, business & financials

Experience & Skills:

- MBA or master's degree in Engineering / Mathematics / Statistics / Economics / Finance

- Excellent communications skills, ability to work with cross-functional stakeholders, and ability to influence senior leadership on strategic recommendations

- Ability to work with ambiguous problems to extract data-backed insights and find targeted solutions for effective implementation

- Comfortable in dealing with large datasets with 8-10 years hands on experience with data analysis tools such as SAS EG, E Minor, SQL, R, Python

- Excellent financial modeling skills with MS Excel and VBA

- Good understanding of Logistic Regression, Linear Regression, Forecasting, Decision trees

- Ability to prioritize tasks and produce top-quality deliverables in a time-sensitive manner

- Banking / Finance / Treasury background and 7/8 years of experience in handling a team is preferred