Senior Analyst - Machine Learning - BFSI

Discipline - Banking

Subsector - Analytics

Location - Delhi NCR

About our Client - Our client is a preeminent management consulting firm that helps leading companies and institutions make distinctive, lasting and substantial improvements to their performance. With over 9,000 consultants working in 102 offices in 52 countries, our client advises organizations worldwide on issues of strategy, organization, operations and technology.It has grown into largest research unit, comprising of about 650 Knowledge Management professionals and one of the world's largest collections of global electronic databases under one roof.

Job Description - The Senior Analyst would spend a significant part of his/her time working with the Risk Management practice. You will be front ending multiple projects across the BFSI space. Specifically, he/she will be expected to perform the following roles:

- Independently handling the modeling workstream in client engagements (such as the development of a cash flow at risk model, credit rating models, liquidity risk models stress testing, economic capital modeling, machine learning etc.)

- Candidates should have expertise in some of the following tools and techniques:

- Machine Learning, especially in the banking domain.

- Techniques like stochastic processes, time series analysis, regressions, factor analysis, Monte-Carlo simulations etc.

- Proven expertise with basic concepts in corporate finance (e.g. P&L, cash flow statements, NPV, IRR etc) and risk management (e.g. economic capital, VaR, Basel II etc) would be preferred.

The Successful Candidate - As a successful candidate, you need to have :

- Graduate/Post Graduate 1-5 years of professional work experience

- Experience in the following areas is a must:

- Machine Learning, especially in the banking domain.

- Specific exposure to risk modeling for either corporates, banks, insurance .

- Knowledge of stress testing, model validation and economic capital modeling.

What's on Offer - Career growth could be either on a specialist track focusing on content leadership or a managerial track focusing on people leadership.

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