Data Scientist (Budapest)


Data Scientist (Budapest)
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Data Scientist

Our client

Our prestigious client is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.


- Collaboration with stakeholders in advanced decision science to create and deliver advanced analytic/predictive modeling solutions, reporting and measurement
- Development, management and reporting of all research for the purposes of improving the Firm’s understanding of tactical and strategic initiatives
- Translation of business unit’s information and needs into advanced analytics business analyses and necessary analytic ecosystem files, as well as attribution, reporting and measurement strategies
- Develop thorough understanding of the portfolio performance through client segmentation and key performance metrics tracking
- Seek opportunities to deploy analytics to drive decisions in everyday field management and client management; help establish advanced platform to deliver insights to the field in real time
- Evaluate effectiveness of advisor practices through client behavior changes and business results. Find scalable solutions to improve advisor performance
- Use predictive analytics to drive client contact/offer targeting for maximized return
- Stay tuned with industry trending, opportunities and challenges, provide business opportunity/risk sizing for the senior management
- Interact with a wide variety of business units to derive and implement analytics solutions


- Degree in Statistics, Economics or related
- Power user of SQL, SAS, R, Python and other statistical software packages, with Enterprise Miner experience a plus
- Demonstrated ability to collect and organize data, conduct analysis and report on and apply results to “actionable insights/recommendations”
- Strong data analysis and data management experience to drive exploratory, advanced analytic and measurement analytic deliverables
- Solid analytic experience developing, staging and executing analyses in SAS to answer key business questions a must. Exposure to predictive modeling experience is desired with Decision Trees, Regression analysis, and other data mining techniques
- Self-starter with strong and creative problem-solving skills
- Minimum of 2 – 4 years of business analyses, predictive modeling, reporting, measurement and campaign management experience



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