Nomura
Nomura
Nomura yra pasaulinė finansinių paslaugų grupė, aptarnaujanti įvairius klientus per investicinės bankininkystės, turto valdymo ir mažmeninio tarpininkavimo veiklas. Įmonė derina tarptautinį veiklos mastą su giliomis Azijos rinkų žiniomis ir teikia finansinius sprendimus, padedančius klientams priimti informacija pagrįstus sprendimus bei reaguoti į kintančias rinkos sąlygas.

Credit Risk Specialist – Nomura, Mumbai (Onsite)

Credit Risk Specialist role focused on credit exposure analysis, risk model governance, and regulatory support. Join Nomura’s Mumbai team serving global financial markets.

Aprašymas

  • Perform daily variance analysis on key credit exposure metrics using dynamic thresholds and the Outliers and Explains methodology
  • Prepare variance explanations for NEHS, NHI, and Local Regulatory Capital teams across daily, monthly, and quarterly reporting cycles
  • Analyze excess management queries, exposure requests, and adjustment issues for Credit Risk Management
  • Work with regional and global teams to assess portfolio movements and resolve related issues
  • Manage and oversee data-quality adjustments affecting in-scope credit risk exposure metrics
  • Review new trade bookings and structures from a trade-capture perspective with Credit Risk Managers and regional CRI teams
  • Partner with regional CRI teams on new-business assessments and provide data-based recommendations
  • Contribute to Risk Change Management activities and user acceptance testing for credit risk models and systems
  • Improve processes and procedures to increase operational efficiency

Reikalavimai

  • 0–4 years of relevant experience
  • Postgraduate degree or MBA from a reputable institution
  • A technical background and strong quantitative skills are advantageous
  • Solid understanding of trade lifecycles and trade attributes across Global Markets products, including OTC, SFT, Money Market, and Loans
  • Strong knowledge of financial markets and traded products, including OTC and exchange-cleared products
  • Understanding of risk models and metrics sufficient to assess changes in counterparty exposure
  • Familiarity with regulatory reporting requirements and the impact of emerging regulatory developments
  • Proficiency in SQL and Python
  • Experience with large language models and knowledge of AI implementation are preferred

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