Model Risk Quantitative Auditor

Morgan Stanley

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profile Job Location:

Budapest - Hungary

profile Monthly Salary: Not Disclosed
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

We are seeking a Model Risk Quantitative Auditor for the Internal Audit Department. Auditors evaluate the adequacy and effectiveness of the Firms internal control risk management and governance framework using risk-based methodologies relying on professional auditing standards.

Model Risk Quantitative Auditors review all aspects of mathematical modeling methodologies and the related control framework around the development validation maintenance and documentation of a wide range of mathematical models used in different areas of the Firm.

This role provides unique opportunity to gain insight into financial products risk management practices and mathematical modeling techniques applied across the diverse areas of the Firm. Were looking for detail-oriented team players who have a keen interest in financial markets and want to gain broad insight into the Firms modeling activities and methodologies.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our

clients and our communities in more than 40 countries around the world.

What youll do in the role:

  • Work with talented individuals around the globe

  • Flexible working arrangements (core hours and some opportunity to work from home)

  • Opportunity to grow and shape your own career

  • Inclusive and welcoming vibrant multinational environment

  • Competitive compensation and benefits package including eligibility for annual bonus.

  • Carry out detailed assessment of the mathematical models of the firm including derivatives pricing models risk management and capital models stress-testing models decision-making models AIML models etc.

  • Review the methodologies and testing programs performed by Model Developers

  • Assess the model validation methods and procedures applied by Model Risk Managers

  • Verify the work performed by the Business Developers and Risk Management to remediate regulatory findings and observations from US UK and European regulators

  • Perform model-related testing applying state-of-the-art in-house data analytic techniques

  • Participating in the specification and development of high-profile data analytic tools

  • Document your assessment work in a clear and concise way

What youll bring to the role:

  • University degree in a quantitative field like Mathematics Physics Quantitative Finance Economics or Engineering

  • 3-5 years work experience in a relevant field

  • Critical thinking risk-based mindset good business sense and judgment

  • Genuine and broad interest in financial markets and products

  • Familiarity with any of pricing models risk management capital or stress-testing models the Basel framework or AIML techniques is a plus

  • Able and keen to acquire the necessary business knowledge required for the work

  • Confident command of English language

  • Strong interpersonal and communication skills

  • Understand and adhere to the organizations core value

#LI-HYBRID #LI-#LI-MB1 #BPAUD

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe please copy and paste into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds talents perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting developing and advancing individuals based on their skills and talents.

We are seeking a Model Risk Quantitative Auditor for the Internal Audit Department. Auditors evaluate the adequacy and effectiveness of the Firms internal control risk management and governance framework using risk-based methodologies relying on professional auditing standards.Model Risk Quantitativ...
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Key Skills

  • Python
  • C/C++
  • Fortran
  • R
  • Data Mining
  • Matlab
  • Data Modeling
  • Laboratory Techniques
  • MongoDB
  • SAS
  • Systems Analysis
  • Dancing

About Company

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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1, ... View more

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