Senior Analyst, Econometrics
Mastercard Zobrazit všechny práce
- Praha
- Trvalý pracovní poměr
- Plný úvazek
We are looking for an individual who will:
- Develop and improve models across the entire pipeline – from data ingestion to statistical modeling, including macro scenarios, and communicating the results to key stakeholders
- Leverage Mastercard data to improve contemporaneous macro forecasting via nowcasting
- Improve variable selection and reduction techniques to identify high quality predictive variables
- Improve model estimation approaches and model back testing
- Identify patterns or anomalies in the datasets being explored, produce concise insights for the Economist to allow fast interpretation of results
- Research and integrate econometric and statistical models as needed in order to create insights and compelling visualizations of data trends to develop interactive dashboards/apps for client presentations
- Work closely with our customers, client services, economic advisory product and customer teams to translate client pain points/requirements into business and data specifications, clear data structure and eventually a usable data set/model/forecast/insights.
- Participate in every stage of a project from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization
- Creative & passionate about statistics/math, economics, data, technology, and its applications, with an entrepreneurial mindset open to new ideas
- A good foundation in different modeling approaches and demonstrated success in managing large models
- A demonstrated interest in different machine learning and statistics with the ability to communicate models in a non-technical manner
- Expertise in one or more of R, Python, Julia, MATLAB or similar languages;
- Interest/experience in some of the following: machine learning (supervised and unsupervised), NLP, time series analysis, and text analysis on economic and financial data sets
- Quantitative modeling experience 2-3 years, ideally in a tech, healthcare/financial or academic research field
- Good foundation in economics with an advanced degree in math/statistics/quantitative field
- Strong collaborator and independent thinker
- Previous client facing experience, proficient in synthesizing data to create insights, great storyteller
- Excellent at managing multiple projects and tight timelines with an ability to reprioritize as situation might require and staying calm under pressure
- Evidence of creativity/innovation/unorthodox thinking in data driven economics