Credit Risk - Stress Testing

Key Responsibilities:
1) Solve analytically complex client problems in the Risk domain like developing Credit
Risk Scoring Models for clients in the financial sector.
2) Lead modeling workstream in client engagements (such as the development of a rating
model) which would include the below:
Define data requirements for creating a model;
Clean, aggregate, analyze and interpret data and statistical modeling output;
Coach junior members of the team working alongside on the model development
exercise.
3) Provide expert advice to consulting team of modeling related issues
4) Support development and maintenance of proprietary Risk management tools and other
knowledge development projects.
Employee Specifications:
1) Post-graduate degree (preferably in Statistics or an MBA or Economics degree with a
strong quantitative underpinning) from a respected institution (e.g., DSE, ISI, JNU, IIMs,
MDI etc.) with an outstanding academic record.
2) 1-9 years of professional work experience with a reputed bank, insurance, other financial
firm or analytics firm with at least two years of experience in risk management.
3) Specific exposure to either credit risk or market risk.
4) Quantitative risk management experience is essential.
5) Score card Development experience
6) Risk Rating Development experience
7) Candidates must demonstrate both a strong business sense and deep understanding of the
quantitative foundations of risk management.
8) Candidates must also possess the following hallmarks of excellent problem solving skills,
team skills, entrepreneurial ability, and strong communication skills:

Excellent analytical and problem solving skills, including the ability to disaggregate
issues, identify root causes and recommend solutions.
Good written and verbal communication skills. Fluent in both written and spoken
English; prior experience in a multi-national environment desirable.
Energetic, cooperative and pleasant personality. Able to work with and coach effectively
a diverse group of team members
Flexibility, patience, and an understanding of fluid, demanding, and unstructured
environments where priorities evolve constantly and methodologies are regularly
challenged.
Ability to work under pressure and deliver on tight deadlines
In addition, successful execution of this role will also need high levels of technical
expertise. Candidates should have exposure (and some degree of expertise) to some of
the following tools and techniques:
Candidate should have sound knowledge on topics like Multivariate Statistics,
Econometrics Analysis, Decision Tress(like CART, CHAID, etc), Optimization,
Machine Learning ( artificial intelligence), stochastic processes etc.
Tools like SAS, SPSS, Answer Tree, Crystal Ball, @Risk etc. Data mining tools like
SAS Eminer, Knowledge Studio, Xeno, Model Builder,etc would be good.
We offer:
Interesting work on international projects
High growth work environment
Competitive salaries and benefit package
Ability to develop career in fast growing consulting firm

Added Skill - Stress Testing