Risk Analytics Quantitative Analyst

We’re seeking someone to join our team as a Risk Analytics Quantitative Analyst.

The role will reside within Firm Risk Managements Risk Analytics Department, specifically the Capital Projections Analytics team. The team is responsible for the development of model methodology for capital forecasting under stress scenarios across risk stripes (market risk, credit risk, CVA) which feed directly into the firms internal and regulatory capital calculations and risk management frameworks. The team has presence across multiple geographical locations and jurisdictions.

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:

• Development, enhancement and maintenance of market risk (VaR, FRTB SA, IRC, etc..) and credit risk (stressed EADs, PDs, CVA, etc..) capital projection models under stress scenarios to ensure ongoing appropriateness and adaptations to new regulations (e.g. Basel 3 End-Game / FRTB, PRA’s SS 1/23, Trading Wind-Down).

• Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.

• Perform ongoing monitoring and evaluation of market and credit risk models, review existing models to ensure they remain fit for purpose and make improvements where necessary.

• Collaborate closely with the model validation team to support model validation function and remediate any identified issues.

• Collaborate with the other teams (data, IT, change management) to ensure that model changes are appropriately implemented.

• Document models and associated developmental analysis, present results to partners and stakeholders.

What you'll bring to the role:

• A degree in a quantitative field such as Finance, Economics, Mathematics, Mathematical Finance, Physics or Engineering

• A thorough knowledge of mathematics and statistic and an internal drive to challenge and improve models with quantitative methods; good understanding of risk measures and financial products is a plus

• Excellent mathematical, analytical, problem solving and troubleshooting skills

• Strong programming skills and demonstrable experience in coding numerical methods and algorithms, data analysis, and manipulation with strong knowledge of at least one prototyping programming language (preferably Python) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain

• The ability to effectively communicate with a wide range of stakeholders, excellent command of English both written and verbal

• Strong organizational skills with an interest in working in a fast-paced environment, often balancing multiple high priority deliverables.

#LI-hybrid #BPMM #LI-JL1

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.

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.