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Citi & Citi Handlowy
Quantitative Risk Analyst, VP
Citi & Citi Handlowy
location iconLocations: Warszawa
level iconLevel: manager/director
Citi is more than a global financial services company. It's an engine for progress. We serve 200 million customers in more than 160 countries, providing support to individual, corporate, government and institutional clients. Our clients choose us for a global footprint, market positon, in-country relationships and the full range of solutions on offer. In Poland we operate within two legal entities Citibank Europe plc and Bank Handlowy w Warszawie S.A.
Quantitative Risk Analyst, VP
Work place: Warszawa

Team Overview

Credit Exposure Factor (CEF) is a critical element of the live-trade analysis Risk Analytics team provides to sales/business and credit risk management to determine the level of initial margin and to understand the impact on credit exposure. CEF is a quantitative measure and can be estimated from various methodologies and quantitative approaches. Currently, CEF is issued by the Counterparty Risk Valuation and Advisory (CRVA) team.

We are building up a new team, Counterparty Risk Exposure Validation (CREV), to heighten the standards of CEF calculations and controls. Major responsibility of the new team will include: 1) quantitatively challenging and validating CEFs issued by CRVA; 2) monitoring CEF process in credit risk systems; 3) demonstrating to regulators and internal control functions on the effectiveness of CEF quality control.

Key Responsibilities:

  • A key member of the five-employee team focusing on quantitative analysis of counterparty risk exposure
  • Playing the “checker” role for the “maker” (the CRVA team): challenging the choices of CEF methodologies, checking the introduced assumptions, and verifying the calculation flows.
  • Assisting team lead to develop, implement, and maintain the standards and procedures for exposure calculation, validation, and monitoring. All validation and monitoring results should be clearly documented and communicated to relevant stakeholders
  • Providing suggestions to the relevant model development teams (including Basel teams, CRVA, etc.) on counterparty exposure methodology enhancements and system flow improvement.
  • Assisting team lead to train and educate junior team members

Qualifications:

  • Advanced degree (Ph.D. preferred) in a quantitative field (e.g. Math, Physics, Statistics, Finance, or Engineering) with at least 5 years of working experience in a quantitative role.
  • Passionate interest in finance with strong analytical, research, and organizational skills; experiences with risk management systems is a plus
  • Self-motivated and capable of independently driving results while effectively prioritizing responsibilities and multi-tasking
  • Resourcefulness with ability to gather, synthesize, and present findings from disparate sources
  • Strong general-purpose programming skills. Python working experience is a plus. Expert knowledge of Microsoft Access, Excel, and PowerPoint is required
  • Good communication and interpersonal skills to facilitate collaboration with colleagues at all levels across Citi

We offer:

  • Opportunity to work in an international, multi-cultural environment
  • Cooperation with a high quality team in a challenging area of the financial industry with one of the world's leading companies
  • Access to the latest technologies and tools
  • Opportunity to learn through participation in various projects and cross training
  • Attractive conditions of employment and benefits
  • High exposure coming from direct cooperation with senior management
Please be informed that we will contact selected candidates only.

Citi and Citi Handlowy are registered trademark of Citigroup Inc., used under license. Citigroup Inc. and its subsidiaries are also entitled to rights to certain other trademarks contained herein.

www.citihandlowy.pl
Bank Handlowy w Waszawie S.A

This job is no longer available

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Details

  • iconAnalytics & Reporting, Audit, Finance & Accounting, Banking
  • iconWarszawa, mazowieckie

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