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Quantitative Modelling Specialist - FP&A

Backend Developer • On-site • Full-time • 📍 Budapest

Morgan Stanley is seeking a Quantitative Modelling Specialist for its Financial Planning & Analysis (FP&A) team within the Finance division. The role focuses on developing forecasting models based on statistical and econometric methods, in particular enhancing and creating models to predict the firm's balance sheet and net revenue based on market and macroeconomic variables. This is a hybrid position.

Stack

Responsibilities

  • Develop forecasting models and methodologies based on statistical and econometric methods
  • Enhance existing models and create new ones to predict the balance sheet and net revenue based on market and macroeconomic variables
  • Test, automate, present and document model enhancements
  • Coordinate across teams during the model development process
  • Monitor the performance of existing models on a quarterly basis

Requirements

  • Master's degree in Economics, Math/Statistics or a 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 end-to-end for timely delivery of requirements
  • Effective time management and ability to meet tight deadlines under pressure
  • Strong organization skills with attention to detail
  • Proficiency in Microsoft Excel, PowerPoint and Word
  • Confident command of English

Soft skills

Strong interpersonal skills with effective written and oral communicationStrong organization and attention to detailAbility to work under pressure and meet tight deadlines

What we offer

  • Comprehensive employee benefits and perks
  • Flexible working arrangements
  • Opportunities to move across the business

About the company

Since 1935, Morgan Stanley has been a global leader in financial services, operating in more than 40 countries. Its Finance division partners with business units worldwide, providing management, review, analysis and advisory services for the firm's financial and capital resources. The company employs more than 80,000 people across 1,200 offices in 42 countries.

Languages: Angol (magabiztos szintű)
Education: Közgazdasági, matematikai/statisztikai vagy kapcsolódó területen szerzett mesterdiploma