Model Risk Traded Market Risk, Director, Firm Risk Management

Were seeking someone to join our team as an Director in Model Risk Management Team.

In the Firm Risk Management division we advise businesses across the Firm on risk mitigation strategies develop tools to analyse and monitor risks and lead key regulatory initiatives.

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:

• Provide independent review and validation compliant with MRM policies and procedures regulatory guidance and industry leading practices including evaluating conceptual soundness quality of model methodology model limitations data quality and on-going monitoring of model performance

• Take initiatives and responsibility of end-to-end delivery of a stream of Model Validation and related Risk Management deliverables

• Write Model Review findings in validation documents that could be used for presentations both internally (model and tool developers business unit managers Audit various global Committees) as well as externally (Regulators)

• Verbally communicate results and debate issues challenges and methodologies with internal audiences including senior management

• Represent MRM team in interactions with regulatory and audit agencies as and when required

• Follow financial markets & business trends on a frequent basis to enhance the quality of Model and Tool Validation and related Risk Management deliverables. Qualifications

What youll bring to the role:

• Masters or Doctorate degree in a quantitative discipline such as Statistics Mathematics Physics Computer Science or Engineering is essential

• Experience in a Quant role in validation of Models in developments of Models or in a technical role in Financial institutions e.g. Developer is essential

• Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred

• 5 years of relevant work experience in a Model Validation role in a bank or financial institution

• Proficient programmer in Python ; knowledge of other programming languages like R Scala MATLAB etc. is preferred

• Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred

• Working knowledge of statistical techniques quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred

• Knowledge of popular machine learning techniques is preferred

• Relevant professional certifications like CQF CFA or progress made towards it are preferred

• Desire to work in a dynamic team-oriented fast-paced environment focusing on challenging tasks mixing fundamental quantitative and market-oriented knowledge and skills is essential

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 thats differentiated and weve 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 - 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.

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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.

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