Quantitative Modelling Director in Financial Planning and Analysis

at  Morgan Stanley

Quantitative Modelling Director in Financial Planning and Analysis
Job Number:

3259615
POSTING DATE: Sep 27, 2024
PRIMARY LOCATION: Europe, Middle East, Africa-Hungary-Budapest-Budapest
EDUCATION LEVEL: Master’s Degree
JOB: Finance
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Director

DESCRIPTION

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Morgan Stanley Budapest is an integral part of the Firm’s global critical business functions including Technology, Finance, Risk, Institutional Securities and Wealth Management. Morgan Stanley has been rooted in the Budapest community since 2006 and is considered a leading employer among the area’s highly skilled talent. Our innovative team delivers deep technical and mathematical expertise to support the Firm’s capabilities in quantitative analysis, data analysis, and risk management. We are relentless collaborators and creative thinkers, fueled by our diverse backgrounds and experiences. We believe in empowering individuals to advance their careers through exposure to innovation, hands-on collaboration and enriching learning and development opportunities.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…
The model development team is responsible for developing new and enhancing the existing forecasting models for various regulatory frameworks.

We offer

• To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork
• State-of-the-art offices in the City Centre that are designed to maximize collaboration
• Flexible working arrangements (core hours and opportunity to work from home)
• Enriching challenges that provide opportunity for constant learning and advancement
• An environment which is leveraging technology to its highest potential

QUALIFICATIONS

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

You might also have: (nice to have skills)

• Familiarity with revenue forecasting, macroeconomic planning or stress testing is an advantage

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 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries.
At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect, and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. BPACC
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.
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.
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.
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.
Learn about our culture and the opportunities for professional growth at Morgan Stanley Budapest:
Build a career with impact. Visit morganstanley.hu or LinkedIn for more information

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 Englis