Data Scientist - Associate Vice President

Given the continued spread of COVID-19 (coronavirus),  all interviews will be conducted by phone or virtual connection to protect our candidates and employees.

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 

You will:

  • Lead  the 4 person Data Science team in Budapest and work closely with global leadership in supporting overall Decision Sciences strategy
  • Support the end to end model development process
  • Develop the algorithm of recommending ideas ; apply innovative techniques to improve its effectiveness. 
  • Design iterative learning process to optimize the algorithm over time
  • Gain understanding of end users’ needs and business value we are driving, and help define and implement the success metrics to measure the value of algorithm
  • Support documents required by regulatory requirements to ensure compliance

You have:

  • Work effectively in cross-functional teams, having demonstrated strong partnerships with both internal and external business partners and alliances
  • Demonstrated ability to collect and organize data, work effectively with complex relational databases, conduct analysis, report on and apply results to “actionable insights / recommendations”
  • Experience in data modeling is required, alongside with the understanding of Machine learning models and concepts, such as Decision trees, Regression analysis, clustering, etc.  
  • a thorough understanding of applied statistics theory, as well as have a strong command of advanced analytic data mining/machine learning/optimization software packages including Python, SAS and SQL 
  • Strong written communication skills with ability to explain complex statistical theory and methods as well as outline applied business solutions 
  • Financial services related work experience preferred

You might also have….

  • Financial services related work experience preferred
  • Bachelor in Statistics or related field is required
  • Advanced degree in Statistics or related field
  • Additional experience with SAS Base/Stat/Macro, R, other statistical software

Team Profile

This position is within the Wealth Management Analytics and Data Decision Sciences’ team.  The goal of this group is to help the organization make fact based and scientifically developed decisions around risk and opportunities, which help drive top and bottom line growth.  This position will play a key role to support Next Best Action (NBA) initiative.  NBA combines insights and marketing messages that allow financial advisors to send actionable ideas to clients with a few clicks.  The position works in a team that is responsible for the decision engine that ranks the ideas for the best results. 

About us:

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.

At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center.


  • Bank, Insurance, Brokering
  • Analysis
  • Finance, Accounting
  • Analyst, Advisor
  • Financial Analyst

Experience required:

  • 3-5 years professional experience

Required Qualification:

  • College degree

Required language level:

  • English (higher advanced/fit for negotiation)

Employment type:

  • Full time

Job location:


How to apply/ contact information:

Apply via "Jelentkezem" button underneath!