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- Tasks: Develop and maintain risk models, analyse economic risks, and prepare reports for senior management.
- Company: Join a leading firm focused on managing participant risk in global foreign exchange settlement services.
- Benefits: Enjoy a global opportunity, collaborate with top executives, and engage in pivotal projects.
- Why this job: Make an impact by shaping risk management strategies and collaborating across diverse teams.
- Qualifications: Master's degree in a quantitative field and 7+ years of relevant experience required.
- Other info: Work closely with the Executive Management Committee and contribute to strategic portfolio reviews.
The predicted salary is between 54000 - 84000 £ per year.
Reporting to the CRO, the Participation and Credit Risk (PCr) department is responsible for establishing the requirements for identifying, assessing, managing, monitoring and reporting participant risk at the firm, including calculation and adjustment of aggregate short position limits and the assessment of compliance with initial onboarding requirements as well as on-going participation eligibility for direct service participants, currencies, and liquidity providers.
The firm is exposed to modest residual credit risk from each settlement member to the extent that they incur a short position in one or more eligible currencies. The position will work closely with diverse managers across all 3LODs at the Group to:
- Develop and maintain statistical and econometric risk models such as indicators of sovereign credit risk and measures of settlement member financial and operational resilience.
- Identify and monitor emerging economic risks/vulnerabilities in the jurisdictions that the firm operates in, as well as the global macro-financial environment.
- Perform analyses and prepare reports that summarise and highlight key economic, financial, and geopolitical risks for senior management.
- Collaborate with Technology to develop the appropriate risk infrastructure to house the quantitative models.
The role is prepared to:
- Monitor market and political events relating to sovereign and financial institutions of direct service participants and Liquidity Providers, and identify potential areas of financial and operational concerns.
- Conduct macro risk assessments of sovereign jurisdictions and financial institutions that are either existing participants of the ecosystem or are applying to become participants of Settlement Services.
- Contribute to the research and development of internal metrics that quantitatively measure and estimate the degree of potential systemic risk that the firm faces.
The position offers a truly global opportunity to apply economic analysis, statistical methods, strategic planning and risk management disciplines to the Group’s global foreign exchange settlement service and the broader Ecosystem. The small size and high calibre of the PCr team offers the opportunity to work closely with the Executive Management Committee and other internal and external risk managers.
Essential Functions
The role will have responsibility for a global portfolio of sovereign and financial institutions counterparties and tasked with monitoring and evaluating macroeconomic and banking systemic risks, competitive and regulatory developments, in addition to managing annual strategic portfolio reviews of the sovereign jurisdictions and financial institutions. The position involves continuous refinement to internal benchmarks, risk analytical tools, processes and procedures for managing country and financial institution risks exposures.
The role offers the opportunity to engage in pivotal projects relating to emerging growth prospects for the organization. The position is intricately tied to fostering cross-functional collaborations across the organization, and wielding the ability to shape senior management perspectives and engage with regulators.
- Making recommendations on sovereigns and financial institutions that merit additional attention due to inherent risks, potentially impacting the respective credit limits.
- Monitoring sovereign and financial institutions ratings changes.
- Following and analysing economic and political dynamics in key developed and emerging market economies, and drawing connections between these shifts and their impact on the ecosystem.
Essential / Desired Qualifications
- Master’s degree in Statistics, Quantitative/Mathematical Finance, Economics, or a related quantitative field, and a 7+ years of professional experience in the job offered or in a related role with the experience of:
- Banking institution market or credit risk model development, model implementation, and data analysis using R.
- Analysing, understanding and presenting the risk profiles of banking institutions and sovereign jurisdictions using both qualitative and quantitative methods.
- Excellent understanding of financial markets risks and macroeconomics indicators.
- Exceptional writing and presentation skills.
- Strong organizational and time-management skills, as well as critical thinking.
Credit Risk Modeller -AVP / VP employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modeller -AVP / VP
✨Tip Number 1
Network with professionals in the credit risk and financial services sectors. Attend industry conferences, webinars, or local meetups to connect with individuals who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 2
Stay updated on current economic trends and geopolitical events that could impact credit risk. This knowledge will not only help you in interviews but also demonstrate your proactive approach to understanding the complexities of the role.
✨Tip Number 3
Familiarise yourself with statistical and econometric modelling tools, particularly R, as these are crucial for the position. Consider taking online courses or certifications to enhance your skills and show your commitment to professional development.
✨Tip Number 4
Prepare to discuss specific examples of how you've previously identified and managed risks in financial institutions. Tailoring your experiences to align with the responsibilities outlined in the job description will make you a more compelling candidate.
We think you need these skills to ace Credit Risk Modeller -AVP / VP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk modelling, statistical analysis, and macroeconomic assessments. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this role. Discuss how your background aligns with the responsibilities mentioned in the job description, particularly your experience with financial institutions and risk management.
Showcase Technical Skills: Emphasise your proficiency in R and any other relevant tools or methodologies you have used in model development and data analysis. Provide examples of projects where you successfully applied these skills.
Highlight Collaboration Experience: Since the role involves working closely with various teams, mention any past experiences where you collaborated across departments. This could include projects that required cross-functional teamwork or communication with senior management.
How to prepare for a job interview at Morgan McKinley
✨Know Your Models
Be prepared to discuss your experience with statistical and econometric risk models. Highlight specific examples where you've developed or implemented these models, especially in relation to sovereign credit risk or financial institution resilience.
✨Stay Updated on Economic Trends
Familiarise yourself with current macroeconomic trends and geopolitical events that could impact credit risk. Be ready to share your insights on how these factors influence the financial landscape and the firm’s operations.
✨Demonstrate Cross-Functional Collaboration
Showcase your ability to work with diverse teams across different functions. Prepare examples of past collaborations, particularly those that involved strategic planning or risk management, to illustrate your teamwork skills.
✨Prepare for Technical Questions
Expect technical questions related to risk assessment and model validation. Brush up on your knowledge of R and other analytical tools, and be ready to explain your approach to data analysis and risk profiling.
