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
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:
The goal of the Risk Methodologies Group (RMG) is to develop a robust risk-modelling framework for calculating potential losses incurred from a specific risk type, as used for regulatory or economic capital calculations, limit monitoring, trade approval or management reporting. This includes development / enhancement, evaluation and monitoring of risk models. The model performance team within RMG assess (via various backtesting and monitoring processes) whether changes in the economic and business environment have affected (or may affect) the assumptions of the model and therefore its performance.
Position Specifications:
Corporate Title: Analyst
Functional Title: Analyst / Senior Analyst
Experience: 1 - 4 years
Qualification: Masters in Finance/Economics or similar
Role & Responsibilities:
Periodic backtesting and model performance monitoring is a critical aspect of ensuring that models are functioning as intended. It involves monitoring the model's outputs, inputs, and performance metrics to ensure that the model is still accurate and relevant. Timely monitoring and analysis of model performance results can help mitigate model risk and improve the model's accuracy and effectiveness. The responsibilities include the following:
Periodic backtesting/ performance monitoring of the following models:
-Firm’s internal VaR model
-SIMM (Standardized Initial Margin Model) model
-FRTB internal models (via backtesting and PLA)
-Other risk models
Daily Backtesting of firm’s internal VaR model and related analysis at entity as well as desk level. It also involves detailed analysis across product classes and risk factors
SIMM (Standardized Initial Margin Model) model monitoring and reporting, which involves development and ownership of the backtesting/benchmarking methodology, identifying risk not in SIMM and in depth analysis on exception drivers by working across product classes
Good understanding of risk factors, sensitivity, valuation and trade lifecycle
Working on various regulatory driven weekly, Monthly and quarterly tasks which also involves reporting to external regulators and senior stakeholders
Work on various development projects including automation/migration of existing model to Python, PowerBI based EUC and maintain proper documentation by using tools such as Gitlab
To act as asubject matter expert for the related risk models and providing support to the model users (i.e. Risk managers)
Regular interaction with senior stakeholder across divisions such as Front office Quants, Finance, Risk management, IT etc
Execute routine BAU tasks efficiently and accurately within the established framework and agreed-upon SLAs.
Mind Set:
1-3 years of experience either in Market risk or Product control with understanding of risk & P&L
Strong inclination to work in a hybrid set-up which involves model development along with managing daily and in other frequencies BAU deliverables
Fair understanding of programming and database languages such as Python, SQL, VBA etc
Fair understating of financial products and its valuation
FRM/PRM/CFA certification would be added advantage
Fair understanding of other tools such as Power BI, GITLAB etc