Senior Data Scientist ( Asset management )
Salary HKD60,000 - HKD80,000 per month
Location Hong KongFULL_TIME
Consultant Vivian Tsang
Date posted 15 March 2023hong-kong tech-transformation/data-science-big-data 2023-03-15 2023-05-14 financial-services Hong Kong HK HKD 60000 80000 80000 MONTH Robert Walters https://www.robertwalters.com.hk https://www.robertwalters.com.hk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png true
A reputable asset management firm is now hiring a senior data scientist to join their platform. Successful incumbent should possess a master degree and will work closely with different stakeholders.
SENIOR DATA SCIENTIST, ADVANCED ANALYTICS
Lead the design of Business Value generating Advanced Analytics solution by leveraging Data Science / AI/ML Modeling techniques
Lead complex data mining and customer analytics projects from creation, evaluation, testing and continuously improving using machine learning, and other analytics techniques.
Manage and develop advanced analytics models (e.g., Retention model; Upsell model; Segmentation model…etc).
Strong ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders.
Innovate & find creative ways to drive the customer value creation and improve the effectiveness of marketing programs through leveraging internal data & external data, structured & unstructured data, and big data technologies.
Provide expertise on analytics concepts for the broader advanced analytics group, and inspire the adoption of advanced analytics, data engineering and data science across the organisation.
Master’s Degree or an advanced degree in a quantitative discipline (Business Statistics, Applied Mathematics, Computer Science, etc.).
4 years+ experience developing of probabilistic models, data mining, and machine learning algorithms, including real world experience of applying analytics models and techniques in the customer and marketing area.
Expert in data analysis using Python, R, SQL and/or SAS and data visualisation package such as PowerBI
Hands-on experience of multivariate analysis, modeling, segmentation, and customer analytics using statistical techniques.
Hands-on experience in deploying analytics campaigns including targeting, test and control development, response tracking and analysis. Experience in Web Analytics such as Adobe a plus
Strong business domain knowledge gained from the insurance, banking, investment management and/or consultancy industry.
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+852 2161 9400
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