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Valuation Control Analytics Model Developer

at Morgan Stanley

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

Valuation Control Analytics Model Developer

at Morgan Stanley

Mid LevelNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Seeking a Valuation Control model developer to build and manage valuation and risk models within Morgan Stanley's Finance division, with primary development in Python and optional Scala work on the firm's ISG RICE platform. The role focuses on Prudent Valuation calculations, Independent Price Verification (IPV) processes, and model oversight, using the firm's Risk Analytics framework in partnership with Market Risk. You will collaborate across Finance, ISG and MRD, contribute to predictive AI and big-data initiatives, and ensure models meet regulatory and firm standards. The position requires strong technical skills, quantitative understanding, and adherence to risk and regulatory controls.

We’re seeking someone to join as a Valuation Control Analytics Model Developer to our Finance Division.


In the Finance division, we act as a partner to business units around the globe by providing management, review, analysis, and advisory services of the Firm’s financial and capital resources.

The Valuation Control (VC) department within Finance is responsible for ensuring that the Firms' valuations are accurate and to calculate additional capital charges for regulators. Most of the capital charges relate to a set of regulations called Prudent Valuation. The key process for monitoring valuations is the Independent Price Verification (IPV) which requires us to revalue all the firms' positions using independent market data. To perform these tasks', we work very closely with our colleagues in the Institutional Securities Group (ISG) and in the Market Risk Department (MRD). We are hiring a new team within VC to improve our ability to create and manage our own valuation models.
The primary responsibility is to act as a model developer for Valuation Control. Some of our processes, such as the IPV, reuse existing models owned by ISG. In other cases, we own our own models such as with Prudent Valuation calculations.


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:

  • Improve on our End User Computing solutions by developing models to firm standards. Primarily you will develop models in Python. You will use the firms existing Risk Analytics framework for model management, execution and deployment in partnership with MRD. It is an option for you to create scala based models in the firms ISG risk platform called RICE.

  • Provide risk-based models for Prudent Valuation calculations.

  • Provide oversight of any models developed in the RICE analytics platform by IT. In these cases, model developers will sign off on the model implementation. In this capacity model developers will be supported by other members of Valuation Control.

  • Initially focus on developing models owned by Valuation Control to meet PRA standards for Prudent Valuation. Following this, you will also work on predictive AI to streamline processing and on big data analytics to improve understanding of our data.

  • Collaborate with a varied group of colleagues in Finance and across the Firm

  • Responsible for and lead aspects of individual and team deliverables and projects, leveraging in-depth knowledge of Finance functional area, product and/or client segments

  • Adhere to the Firm's risk and regulatory standards, policies and controls; proactively identify ways to reduce risk in work

  • Act as a culture carrier; embody and set an example of the Firm's values and hold yourself and others accountable to Firm standards

What you’ll bring to the role:

  • In-depth knowledge of Finance functional area, product and/or client segment and technical skills, as well as of industry and competitive environment

  • Ability to operate independently with respect to most job responsibilities

  • Ability to provide positive and constructive feedback and innovate processes > Strong technical skills (python is required, scala or the willingness to learn it is an advantage)

  • Understanding of math to a level of proficiency to interact with modellers in other parts of the firm and to build risk-based models

  • At least 4 years' relevant experience would generally be expected to find the skills required for this role

#LI-MB1 #BPACC #LI-hybrid

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.

Valuation Control Analytics Model Developer

at Morgan Stanley

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

Valuation Control Analytics Model Developer

at Morgan Stanley

Mid LevelNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Seeking a Valuation Control model developer to build and manage valuation and risk models within Morgan Stanley's Finance division, with primary development in Python and optional Scala work on the firm's ISG RICE platform. The role focuses on Prudent Valuation calculations, Independent Price Verification (IPV) processes, and model oversight, using the firm's Risk Analytics framework in partnership with Market Risk. You will collaborate across Finance, ISG and MRD, contribute to predictive AI and big-data initiatives, and ensure models meet regulatory and firm standards. The position requires strong technical skills, quantitative understanding, and adherence to risk and regulatory controls.

We’re seeking someone to join as a Valuation Control Analytics Model Developer to our Finance Division.


In the Finance division, we act as a partner to business units around the globe by providing management, review, analysis, and advisory services of the Firm’s financial and capital resources.

The Valuation Control (VC) department within Finance is responsible for ensuring that the Firms' valuations are accurate and to calculate additional capital charges for regulators. Most of the capital charges relate to a set of regulations called Prudent Valuation. The key process for monitoring valuations is the Independent Price Verification (IPV) which requires us to revalue all the firms' positions using independent market data. To perform these tasks', we work very closely with our colleagues in the Institutional Securities Group (ISG) and in the Market Risk Department (MRD). We are hiring a new team within VC to improve our ability to create and manage our own valuation models.
The primary responsibility is to act as a model developer for Valuation Control. Some of our processes, such as the IPV, reuse existing models owned by ISG. In other cases, we own our own models such as with Prudent Valuation calculations.


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:

  • Improve on our End User Computing solutions by developing models to firm standards. Primarily you will develop models in Python. You will use the firms existing Risk Analytics framework for model management, execution and deployment in partnership with MRD. It is an option for you to create scala based models in the firms ISG risk platform called RICE.

  • Provide risk-based models for Prudent Valuation calculations.

  • Provide oversight of any models developed in the RICE analytics platform by IT. In these cases, model developers will sign off on the model implementation. In this capacity model developers will be supported by other members of Valuation Control.

  • Initially focus on developing models owned by Valuation Control to meet PRA standards for Prudent Valuation. Following this, you will also work on predictive AI to streamline processing and on big data analytics to improve understanding of our data.

  • Collaborate with a varied group of colleagues in Finance and across the Firm

  • Responsible for and lead aspects of individual and team deliverables and projects, leveraging in-depth knowledge of Finance functional area, product and/or client segments

  • Adhere to the Firm's risk and regulatory standards, policies and controls; proactively identify ways to reduce risk in work

  • Act as a culture carrier; embody and set an example of the Firm's values and hold yourself and others accountable to Firm standards

What you’ll bring to the role:

  • In-depth knowledge of Finance functional area, product and/or client segment and technical skills, as well as of industry and competitive environment

  • Ability to operate independently with respect to most job responsibilities

  • Ability to provide positive and constructive feedback and innovate processes > Strong technical skills (python is required, scala or the willingness to learn it is an advantage)

  • Understanding of math to a level of proficiency to interact with modellers in other parts of the firm and to build risk-based models

  • At least 4 years' relevant experience would generally be expected to find the skills required for this role

#LI-MB1 #BPACC #LI-hybrid

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.