Credit Risk Specialist

Nomura Overview:

Nomura is a leading financial services group and the preeminent Asian-based investment bank with worldwide reach. Nomura provides a broad range of innovative solutions tailored to the specific requirements of individual, institutional, corporate and government clients through an international network in over 30 countries. Based in Tokyo and with regional headquarters in Hong Kong, London, and New York, Nomura employs over 26,000 staff worldwide. Nomura’s unique understanding of Asia enables the company to make a difference for clients through three business divisions: retail, asset management, and wholesale (global markets and investment banking).

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.

Divisional Overview:

The Global Risk Management Division in Powai has the following functions – Credit risk, Market risk, Risk and Control, Model Validation, Risk Methodology and Risk HQ. The division is responsible for effectively managing the firm's risk-return profile which ensures the efficient deployment of the firm's capital.

Business Overview:

Credit Risk Infrastructure (CRI) exposure validation group is a sub-function under Risk Infrastructure that is responsible for credit risk model output governance. The team gets closely involved in various changes projects relating to Credit Risk Model maintenance, Risk engines, during introduction or enhancements to various exposures/ metrics, new legal entities, Model / valuation function release testing and change adoption. The team is also responsible for various regulatory capital calculation and sign off process for various regions from risk management aspects.

Key responsibilities include:

- Execute daily variance analysis for critical credit exposure metrics including Current Exposure (CE), Potential Exposure (PE), Maximum Potential Exposure/ANC (MPE), Stressed Current Exposure (SCE), Stress Loss (SL) and Expected Effective Positive Exposure (EEPE/stressed EEPE), utilizing a dynamic variance threshold framework with Outliers and Explains methodology

- Provide comprehensive variance explanations to key stakeholders including NEHS, NHI, and Local Regulatory Capital teams on daily, monthly, and quarterly cadences

- Support Credit Risk Management (CRM) by analyzing excess management queries, exposure inquiries, and adjustment-related issues applied by CRM or CRI validation teams

- Coordinating with multiple regional and global groups to understand portfolios movements and resolving issues if any

- Own and govern data issues related adjustments for in-scope credit risk exposure metrics, maintaining a robust governance framework for all such modifications

- Proactively engage with new trade bookings and structures from a trade capture perspective, partnering closely with Credit Risk Managers and regional Credit Risk Infrastructure (CRI) teams

- Collaborate with regional CRI teams to support new business evaluation processes and deliver actionable, data-driven recommendations

- Active involvement in Risk Change Management & UAT Support on credit risk models and systems.

- Key initiatives to enhance and improve processes and procedures to gain efficiencies

Experience: 0-4 yrs +

Qualification: Post Graduate / MBA from reputed college. Technical background with good quant knowledge will be added advantage.

Competencies

- Good understanding of trade Lifecycle and trade attributes across for Global Market products like OTC, SFT, Money Market, Loans etc.

- Strong understanding of financial markets and products traded (OTC and Exchange cleared)

- Decent understanding of Risk Models and Risk Metrics to comprehend impact on counterparty exposures movements

- Exposure to regulatory reporting requirements & be able to comprehend implication of new regulatory developments

- Well conversant with technologies like SQL and Python. Exposure to LLM models and understanding of AI implementation would be preferred