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Model Governance Associate

Kockázatelemző • Hibrid • Alkalmazott • Teljes munkaidő
Magyarország Morgan StanleyAngol: FelsőfokSzakirányú diploma

Feladat

Description

Morgan Stanley Wealth Management Risk group is responsible for overseeing the risk and control framework within the Wealth Management business unit. The group teams with WM business units as well as the Firm Risk Management group to implement control processes and procedures and protect the firm from exposure to various risks including operational, credit, investment, trading, reputational and model risk. The position will reside within WM Model Risk. The Model Control team oversees the model inventory for all WM models. The inventory is comprised of Position Valuation and Risk Measurement models (PVRM) and advisory models (Decision Support Models), including Machine Learning and Generative AI (GenAI) models. The team is responsible for creating relevant policy, procedures and governance structures and participating in the certification and roll-out of models. In addition, the team is responsible for tracking and reporting progress on model specific issues identified by regulators, internal audit and through independent model review. The team works in close collaboration with model developers/owners and the Firm model review and governance teams.

The applicant should be interested in risk and controls, as well as process oversight and management. The applicant should possess a basic understanding of Artificial Intelligence (AI) and Machine Learning concepts, especially those relevant to GenAI technologies used for business applications. Work history should demonstrate strong attention to details, execution and project management skills, and the ability to influence and coordinate within cross-functional teams.

Responsibilities

  • Contribute to the organization and maintenance of inventory of all models developed and used within WM Risk
  • Participate in interviews with WM Risk Officers, Financial Analysts, and business stakeholders to identify new models
  • Lead training and create training materials for the Model Control System
  • Support the execution of the model control process which includes the periodical update of policy and procedures, model certification and exception process
  • Prepare presentation materials for model related committees and senior management
  • Present group findings to Senior Management and Model Risk Committees
  • Maintain various reporting dashboards as needed

Elvárások

Qualifications

  • Strong organization and time-management skills, with the ability to swiftly transition between projects and tasks
  • Ability to work independently, be self-motivated, and have accountability/ownership of projects
  • Excellent communication (verbal and written) and interpersonal skills
  • Advanced MS Office skills (Excel, PowerPoint, Word)
  • Knowledge of Python, SQL or Microsoft Macro/VBA is a plus
  • Prior relevant risk management or regulatory experience
  • Education: BA or BS

#BPDBA

Soft Skillek

IdőgazdálkodásÖnállóságKommunikációs készségFigyelem a részletekre

Munkáltatóról

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 1,200 offices in 42 countries. Morgan Stanley Wealth Management provides a range of wealth management products and services for individuals, businesses, and institutions. These services include brokerage and investment advisory, financial and wealth planning, credit and lending, cash management, annuities and insurance, retirement, and trust.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s 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 https://www.morganstanley.com/about-us/global-offices into your browser.

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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Munkavégzés formája
Alkalmazott
Munkaidő
Teljes munkaidő
Munkavégzés módja
Hibrid
Munkavégzés helye
Budapest

Jelentkezés

Mennyit kérj?
Ennél a pozíciónál (Kockázatelemző) versenyképes bérigény:
740.000 – 1.120.000 Ft havi bruttó
Becsült sáv 5 beküldött fizetés átlaga körül, a Bérfigyelő felméréséből.

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