
Associate - Market Risk, Risk Analytics (Firm Risk Management)
Last Date to Apply: May 14, 2025
ApplyAdded Today : 421
Expired Today : 1855
Morgan Stanley
Morgan Stanley
Market Risk, Risk Analytics - Associate
Profile Description
We’re seeking someone to join our team as a [Associate] in [Market Risk, Risk Analytics 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:
Primary Responsibilities include, but are not limited to:
• Develop functional expertise on an assigned asset class over time
• Design and develop Python analytical libraries supporting needs of the full suite of market risk models
• Hold ownership of the code library including development, maintenance, testing, and governance
• Effectively collaborate with other teams within Market Risk Analytics and partnering areas - Market Risk Department, Model Risk Management, Strats and IT - to deliver on project requirements.
• Effectively communicate requirements from the Engineering Team to a wider audience of project stakeholders and senior managers.
• Understanding of various market risk model metrics; staying up to date with regulatory guidelines and model developments Skills Required
• 2-5 years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field.
• Understanding of basic risk management concepts such as VaR (value-at-risk), stress tests, market risk modelling.
• Knowledge of Credit products such as Bonds, CDS etc. is preferred.
• Hands-on experience in Python with knowledge of packages used for data manipulation, time series and data analysis.
• Understanding of code development using OOPs concepts along with familiarity with Github version control.
• The candidate needs to be familiar with statistical techniques and knowledge of machine learning algorithms is preferred.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
• Strong communication skills (Oral and written). Ability to communicate complex and technical issues in simple manner.
• Attention to details and ability to work under pressure
What you’ll bring to the role:
Required Qualifications
• Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects.
Desirable Skills
• FRM, CFA, CQF certification is an advantage
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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