Job Title: RSK-Risk Methodology Group
Nomura Overview:
Nomura is an Asia-headquartered financial services group with an integrated global network spanning over 30 countries. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Retail, Asset Management, Wholesale (Global Markets and Investment Banking), and Merchant Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com
Nomura Services India, (Powai) supports Nomura’s businesses around the world. Powai’ s world class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support have played a key role in facilitating Nomura’s global operations and are an integral part of Nomura’s global expansion plans. The Powai operation is a critical part of the platform to support the growth of Nomura’s global business.
Division Overview:
The Risk Management Division encompasses the firm's comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firm's risk-return profile that ensures the efficient deployment of the firm's capital. It is one of the firm's core competencies and is independent of the trading areas and operational areas.
The Risk Management Division in India comprises:
- Market Risk Management
- Credit Risk Management
- Quantitative Risk Management
- Operational Risk Management
- Data Integrity Group
Business Unit Overview:
Stress testing’s primary purpose is to ensure that all material risk concentrations are understood and consistent with the Firm’s risk appetite and business strategy. Stress testing is carried out on a regular basis to ensure that the Firm has sufficient resources to continue to do business in the event of a severe downturn scenario beyond the reach of VaR/Economic Capital.
The Stress Testing analytics is a sub-team of the Risk Methodologies Group (RMG); has the mandate to develop / enhance stress testing models in line with internal and regulatory requirements/guidelines provided on Stress testing framework. The methodologies side of the group has the critical task of owning and developing all the stress testing models that are used for computing capital adequacy for the whole firm under various regulator(s) provided scenarios or internal scenarios. The team works extensively on the regulatory capital model under stress scenarios; Works with front office and otherrisk managers to review pricing errors under full relvauation methods and also enhance the stress
testing models.
Qualification - Masters in Quantitative discipline (B.E/B. Tech+, M. Tech, MSc (Maths/Stats), Econometrics)
Role & Responsibilities:
Work closely with the Risk Methodologies Group (RMG) and Stress Testing Group (STG) on the projects related to Stress Testing Framework.
Development and periodic update of proto-type models with special attention to the model related to Market risk and Counterparty Credit Risk.
Implementation of stress testing models into strategic risk system (this includes developing methodology, building prototype, writing technical business requirement document, performing model testing, ensure compliance with regulatory requirements and liaising with model validation group).
To act as a subject matter expert for the stress testing models and providing support to the model users (i.e. stress testing group) and be a key point of contact with respect to such models.
Work on the stress testing guidelines, perform firm wide analysis to assess the impact of stress testing models and support in quantitative impact study (QIS).
Create strategic tools for stress testing models using python.
Participate in periodic review of models and calibration of model parameters.
Provide necessary support to Model validation group/Audit team during validation of stress testing models including any model change on an ongoing
Mind Set:
1-3 years of experience either in Market risk or Credit risk with good understanding of risk modelling.
Good understanding of mathematical concepts like probability, statistics, calculus, linear algebra.
Good knowledge of Python, SQL, Matlab, VBA.
Good understating of financial products (Bonds, Derivatives)
A strong Mathematical/Statistical background.
Actuaries (Cleared at least 3 CT papers) would be advantage
FRM/PRM/CFA certification would be added advantage.