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Quantitative Modelling Specialist in Financial Planning and Analysis

at Morgan Stanley

Back to all Data Science / AI / ML jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Quantitative Modelling Specialist in Financial Planning and Analysis

at Morgan Stanley

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 2 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Financial Planning & Analysis team to develop, enhance and deploy statistical and econometric forecasting models to predict the firm's balance sheet and net revenue. You will test, automate, document and monitor models, coordinate across teams, and support quarterly performance reviews to inform budgeting and financial planning.

We’re seeking someone to join our team as a Quantitative Modelling Specialist in Financial Planning and Analysis.

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. This is a position within our Financial Planning & Analysis Job Family which is responsible for the firm’s budget, forecast, internal management reporting and financial analysis to provide insight into the firm’s current and expected financial performance, as well as expense allocation.

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:

  • Developing forecasting models, methodologies based on statistical and econometric methods

  • In particular, enhancing existing and creating new models to predict the balance sheet and the net revenue of the company, based on various (e.g. market and macroeconomic) variables

  • Testing, automating, presenting and documenting the model enhancements

  • Coordinating across teams during the model development process

  • Monitoring the performance of existing models on a quarterly basis

What you’ll bring to the role:

  • Master's degree in Economics, Math / Statistics or related field

  • Strong knowledge of statistical modelling and econometrics

  • Proficiency in a (statistical) programming language (R or Python preferred) and Databases (SQL)

  • Strong analytical and problem solving skills

  • Ability to manage processes from end-to-end to ensure successful and timely delivery of requirements

  • Effective time management and ability to meet tight deadlines and handle pressure situations

  • Strong organization skills, with attention to detail

  • Strong interpersonal skills; effective written and oral communication abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word

  • Confident command of English

  • Familiarity with revenue forecasting, macroeconomic planning or stress testing is an advantage (good to have)

#BPACC #LI-hybrid #LI-JL1

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.

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.

Quantitative Modelling Specialist in Financial Planning and Analysis

at Morgan Stanley

Back to all Data Science / AI / ML jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Quantitative Modelling Specialist in Financial Planning and Analysis

at Morgan Stanley

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 2 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Financial Planning & Analysis team to develop, enhance and deploy statistical and econometric forecasting models to predict the firm's balance sheet and net revenue. You will test, automate, document and monitor models, coordinate across teams, and support quarterly performance reviews to inform budgeting and financial planning.

We’re seeking someone to join our team as a Quantitative Modelling Specialist in Financial Planning and Analysis.

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. This is a position within our Financial Planning & Analysis Job Family which is responsible for the firm’s budget, forecast, internal management reporting and financial analysis to provide insight into the firm’s current and expected financial performance, as well as expense allocation.

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:

  • Developing forecasting models, methodologies based on statistical and econometric methods

  • In particular, enhancing existing and creating new models to predict the balance sheet and the net revenue of the company, based on various (e.g. market and macroeconomic) variables

  • Testing, automating, presenting and documenting the model enhancements

  • Coordinating across teams during the model development process

  • Monitoring the performance of existing models on a quarterly basis

What you’ll bring to the role:

  • Master's degree in Economics, Math / Statistics or related field

  • Strong knowledge of statistical modelling and econometrics

  • Proficiency in a (statistical) programming language (R or Python preferred) and Databases (SQL)

  • Strong analytical and problem solving skills

  • Ability to manage processes from end-to-end to ensure successful and timely delivery of requirements

  • Effective time management and ability to meet tight deadlines and handle pressure situations

  • Strong organization skills, with attention to detail

  • Strong interpersonal skills; effective written and oral communication abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word

  • Confident command of English

  • Familiarity with revenue forecasting, macroeconomic planning or stress testing is an advantage (good to have)

#BPACC #LI-hybrid #LI-JL1

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.

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.