Manager - Banking Analytics - Solutioning Team

Responsibilities

As a part of the solutioning team, you'll be responsible for developing Analytics led Banking solutions on Leni, our AI based virtual analyst, and take them to prospective clients. In a highly charged and dynamic environment, your job will require the following -

- Design and develop scalable and configurable banking solutions on Leni

- Solution to address the breadth of banking functions including and not limiting to marketing, risk, operations, finance spanning customer lifecycle across products ( assets and liabilities).

- Understand data models, technology infrastructure to design product implementation solutions

- Work closely with the business development and sales teams to scope clients needs and configure Leni to address the needs

- Lead a team of NLP analysts, data scientists, data engineers and business analysts to implement Leni for clients

- Assess market needs and contribute in introduction of new features and capabilities on Leni

- Sometimes, Write/Review code to scale product capabilities

A successful candidate will potentially have

- 7-10 years of experience in delivering analytics led consulting projects in banking operations or related domains

- Experience in developing analytics led solutions in atleast one of the core banking functions marketing, risk, operations, finance spanning customer lifecycle across products ( assets and liabilities). Hands on experience in banking operations process modeling

- A good understanding of software applications and platforms specific to banking function

- A masters degree (or equivalent) in Finance/ MBA is preferable

- A bachelors degree in any discipline with strong Academic background

- Strong analytical thinking and hands-on experience in problem solving

- Strong verbal and written communication skills

- A good understanding of the landscape of BI solutions like Tableau, Power BI, Qlik, ThoughtSpot, Answer Rocket, Looker etc.

- Hands-on experience in predictive modeling techniques like regression, classification, clustering, forecasting etc.

- Proficiency in R/Python/SQL

- A good understanding of SQL and no-SQL databases