Quantitative Modelling Specialist
@ Morgan Stanley

Budapest, Budapest, Hungary
$150,000
On Site
Full Time
Posted 21 days ago

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Job Details

About the Role

Morgan Stanley is seeking a Quantitative Modelling Specialist to join the Financial Planning and Analysis team. In this role, you will develop forecasting models and methodologies based on statistical and econometric methods, enhance and create new models for predicting the balance sheet and net revenue, test and automate model enhancements, and coordinate with cross-functional teams. You will monitor the performance of existing models on a quarterly basis.

Key Responsibilities

  • Develop forecasting models using statistical and econometric methods.
  • Enhance and create models to predict balance sheet and net revenue.
  • Test, automate, present, and document model enhancements.
  • Coordinate across teams during the model development process.
  • Monitor the performance of existing models quarterly.

Qualifications

A Master0s degree in Economics, Math, Statistics or a related field is required. Strong knowledge in statistical modelling, econometrics, and proficiency in a programming language (R or Python) along with SQL is essential. The candidate must have strong analytical, organizational, and interpersonal skills, and be proficient in Microsoft Excel, PowerPoint, and Word. Familiarity with revenue forecasting, macroeconomic planning, or stress testing is a plus.

About Morgan Stanley

Since 1935, Morgan Stanley has been a global leader in financial services, operating in more than 40 countries. The firm values client-first service, integrity, innovative thinking, and diversity and inclusion. They offer attractive employee benefits, flexible work arrangements, and opportunities for growth and internal mobility.

Key skills/competency

  • Forecasting
  • Statistical Modelling
  • Econometrics
  • Python
  • R
  • SQL
  • Financial Analysis
  • Budgeting
  • Data Analysis
  • Excel
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How to Get Hired at Morgan Stanley

🎯 Tips for Getting Hired

  • Research Morgan Stanley's culture: Study their mission, values, and recent projects.
  • Tailor your resume: Highlight relevant modelling and statistical expertise.
  • Showcase technical skills: Detail proficiency in Python, R, SQL, and Excel.
  • Prepare with examples: Demonstrate past forecasting and analysis achievements.

📝 Interview Preparation Advice

Technical Preparation

Review econometric methods and statistical modelling.
Practice programming in Python and R.
Enhance SQL and database querying skills.
Study financial forecasting and budgeting techniques.

Behavioral Questions

Describe a challenging project and your role.
Explain effective teamwork in high-pressure contexts.
Share how you prioritize multiple deadlines.
Discuss communication strategies with diverse teams.

Frequently Asked Questions