Senior Quantitative Modelling Specialist in Financial Planning at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modelling, Econometrics, R, Python, SQL, Analytical Skills, Problem Solving, Time Management, Organization Skills, Interpersonal Skills, Written Communication, Oral Communication, Microsoft Excel, Microsoft PowerPoint, Microsoft Word, Revenue Forecasting, Macroeconomic Planning

Industry

Financial Services

Description

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

Responsibilities

The role involves developing and enhancing forecasting models and methodologies based on statistical and econometric methods. It also includes testing, automating, and documenting model enhancements while coordinating across teams.