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Market Risk Analytics - Credit, Associate, Firm Risk Management

at Morgan Stanley

Back to all Python jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Market Risk Analytics - Credit, Associate, Firm Risk Management

at Morgan Stanley

JuniorNo visa sponsorshipPython

Posted 19 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Associate role on the Market Risk Analytics (Credit) team within Firm Risk Management. You will develop and monitor market risk models, design and build analytical libraries in Python, and assume technical ownership of code including maintenance, testing, and governance. The role requires collaboration with Market Risk, Model Risk, Strats and IT teams to deliver project requirements. A quantitative master's and 2-5 years of relevant quantitative development experience are required.

We’re seeking someone to join our team as an Associate in Market Risk Analytics Credit 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 you’ll do in the role:

  • Develop market risk models and perform their periodic monitoring.

  • Design and create analytical libraries using Python.

  • Assume technical ownership of the code library, including its development, maintenance, testing, and governance.

  • Collaborate effectively with other Market Risk Analysis (MRA) teams and partnering areas, such as Market Risk Management, Model Risk Management, Strats, and IT, to fulfil project requirements.

What you’ll bring to the role:

  • A master’s degree in a quantitative discipline such as Quantitative Finance, Computer Science Physics, Mathematics, or Engineering is required, along with two to five years of relevant work experience that includes a significant quantitative development component.

  • A solid understanding of code development using Object-Oriented Programming (OOP) concepts, along with familiarity with GitHub for version control, is required.

  • Knowledge of trading markets, particularly within the Credit space (including products such as Bonds and Credit Default Swaps), and familiarity with market risk concepts like value-at-risk, is preferred.

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.

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.

Market Risk Analytics - Credit, Associate, Firm Risk Management

at Morgan Stanley

Back to all Python jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Market Risk Analytics - Credit, Associate, Firm Risk Management

at Morgan Stanley

JuniorNo visa sponsorshipPython

Posted 19 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Associate role on the Market Risk Analytics (Credit) team within Firm Risk Management. You will develop and monitor market risk models, design and build analytical libraries in Python, and assume technical ownership of code including maintenance, testing, and governance. The role requires collaboration with Market Risk, Model Risk, Strats and IT teams to deliver project requirements. A quantitative master's and 2-5 years of relevant quantitative development experience are required.

We’re seeking someone to join our team as an Associate in Market Risk Analytics Credit 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 you’ll do in the role:

  • Develop market risk models and perform their periodic monitoring.

  • Design and create analytical libraries using Python.

  • Assume technical ownership of the code library, including its development, maintenance, testing, and governance.

  • Collaborate effectively with other Market Risk Analysis (MRA) teams and partnering areas, such as Market Risk Management, Model Risk Management, Strats, and IT, to fulfil project requirements.

What you’ll bring to the role:

  • A master’s degree in a quantitative discipline such as Quantitative Finance, Computer Science Physics, Mathematics, or Engineering is required, along with two to five years of relevant work experience that includes a significant quantitative development component.

  • A solid understanding of code development using Object-Oriented Programming (OOP) concepts, along with familiarity with GitHub for version control, is required.

  • Knowledge of trading markets, particularly within the Credit space (including products such as Bonds and Credit Default Swaps), and familiarity with market risk concepts like value-at-risk, is preferred.

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.

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.