Senior Modelling Analyst recruitment

You will:

•  Interfacing / partner with Regional modelling team to proactively identify areas for modelling support; and formulate relevant solutions accordingly

•  As subject matter expert of modelling, develop and apply a diverse set of advance data mining tools including (but not limited to) association, decision tree, clustering, multi-variate regression, to design and develop robust, analytic solutions for execution

•  Manage delivery of modelling outputs, effectively communicate modelling concepts, quantitative and complex data mining outputs to non-technical audience and provide working-level recommendations in terms of model application and implementation

•  Keep close track of user/field feedback, manage closed-loop performance tracking to assess model performance, identify time-sensitive issues and provide effective solution with short turnaround

•  Propose develop algorithm to automate routine modelling tasks to achieve ultimate efficiency

•  Develop a centralize model repository with sufficient recordkeeping of model practice, learning knowledge

Requirement:

•  Hold a Bachelor above degree in Computer Science, Mathematics, Statistics, Operation Research, Engineering or other highly quantitative majors, master or higher degree desired;

•  Minimum 3-5 year working experience in hands-on statistical modelling / Advanced data mining solution development, preferably in financial service institutions.

•  Expert level statistical modelling knowledge, particularly in linear/non-linear regression, decision tree, cluster analysis, association, etc

•  Highly proficient in SAS and/or other leading statistical software required

•  Good communication skills in verbal and written English; strong interpersonal skills

•  A highly analytical and logical individual who is independent, self-motivated and a team player.

•  Detailed oriented, conscious of stringent quality control and able to work under pressure challenging deadlines

•  Good exposure to financial institutions and profound knowledge in financial products and operation flows will be considered as an advantage.