Morgan Stanley

Associate - Market Risk Data Team (Firm Risk Management)

Job Description

Morgan Stanley

Market Risk - Associate

Profile Description

We’re seeking someone to join our team as an [Associate] to Market Risk Team].

Firm Risk Management

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

Company Profile

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

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 you’ll do in the role:

The primary responsibilities of the role include, but are not limited to the following:
• Participate in various data-related strategic programs targeting BCBS 239 implementation across the Firm (e.g. Risk Data Catalog, Risk Data Aggregation, Data Lineage, etc.)
• Deliver high quality management information to support senior stakeholders across the Firm in discussions and in the decision-making process for data-related projects
• Support firmwide data strategy efforts and represent the interest of the Market Risk Department
• Interface and manage relationships with internal stakeholders within the wider Risk Management Division, the Technology Division and the Front Office You ideally have:
• University or College degree in any data related field, statistics or business management
• Basic understanding of financial markets, risk management concepts and models and financial products
• Ability to work independently, proactively and taking ownership
• Strong project and stakeholder management skills
• Strong strategic and critical thinking
• Strong risk and control mindset
• Attention to detail and prioritization skills will be key in balancing daily deadlines with timely implementation of strategic projects
• Proficient in written and verbal communication (in English)
• Basic familiarity with handling and analyzing large datasets is favorable on at least one platform such as Excel, MatLab, R, Python, VBA or SQL

What you’ll bring to the role:

Skills required (required / preferred)
• Good understanding of Agile Principles
• Experience in UAT and in product development support

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 - 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.

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.


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