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Asset and Wealth Management, Operations - Public, Data Analytics, Analyst/Associate, Singapore
Salary undisclosed
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- Analyse big data and undertake exploratory data analysis while observing best practices for experimentation / analysis
- Perform data preparation, data blending, data visualisation
- Develop business intelligence applications and present outcomes
- Design indicators of business intelligence application performance and risk metrics
- Synthesize analysis results to inform business outcomes
- Identify, escalate and resolve systems and algorithm performance trends or issues
- Deliver business intelligence products in the context of your organisations change agenda
- Collaborate closely with business stakeholders and track progress on projects, adhering to the solution delivery lifecycle
- Seek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomes
- Collaborate with other solution experts / advisors to share ideas / code through showcasing outputs
- Bachelor's degree or equivalent in Science, Technology, Engineering or Mathematics
- Minimum of 2 years' experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder Management
- Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)
- Working knowledge of artificial intelligence programming languages (e.g. Python, R)
- Relevant experience in Banking, FinTech or Asset Management
- Practitioner in business intelligence and/or artificial intelligence methodologies and their value / limitations
- Fast learner and effective communicator of new / complex information
- Self-motivated team player who is able to define, structure and prioritize work, but who has the flexibility to change priorities when circumstances dictate
- Able to develop cooperative and constructive working relations with strong cultural awareness
- Confidence to challenge and be innovative
- Financial Engineering and / or Investment Management experience
- Able to contextualise analysis in Confluence, JIRA, Microsoft Applications, etc.
- Experience with implementing according to solution delivery frameworks such as Agile, Six Sigma, Waterfall, etc.
- Experience in the practice of continuous integration / continuous deployment
- Working knowledge of workflow applications (e.g. Appian, Unqork, Xceptor)
- Working knowledge of database tools (e.g. Elasticsearch, MS SQL Server)
- Working knowledge of artificial intelligence scientific computing packages (e.g. Scikit-Learn, Pandas, NLTK)
- Analyse big data and undertake exploratory data analysis while observing best practices for experimentation / analysis
- Perform data preparation, data blending, data visualisation
- Develop business intelligence applications and present outcomes
- Design indicators of business intelligence application performance and risk metrics
- Synthesize analysis results to inform business outcomes
- Identify, escalate and resolve systems and algorithm performance trends or issues
- Deliver business intelligence products in the context of your organisations change agenda
- Collaborate closely with business stakeholders and track progress on projects, adhering to the solution delivery lifecycle
- Seek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomes
- Collaborate with other solution experts / advisors to share ideas / code through showcasing outputs
- Bachelor's degree or equivalent in Science, Technology, Engineering or Mathematics
- Minimum of 2 years' experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder Management
- Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)
- Working knowledge of artificial intelligence programming languages (e.g. Python, R)
- Relevant experience in Banking, FinTech or Asset Management
- Practitioner in business intelligence and/or artificial intelligence methodologies and their value / limitations
- Fast learner and effective communicator of new / complex information
- Self-motivated team player who is able to define, structure and prioritize work, but who has the flexibility to change priorities when circumstances dictate
- Able to develop cooperative and constructive working relations with strong cultural awareness
- Confidence to challenge and be innovative
- Financial Engineering and / or Investment Management experience
- Able to contextualise analysis in Confluence, JIRA, Microsoft Applications, etc.
- Experience with implementing according to solution delivery frameworks such as Agile, Six Sigma, Waterfall, etc.
- Experience in the practice of continuous integration / continuous deployment
- Working knowledge of workflow applications (e.g. Appian, Unqork, Xceptor)
- Working knowledge of database tools (e.g. Elasticsearch, MS SQL Server)
- Working knowledge of artificial intelligence scientific computing packages (e.g. Scikit-Learn, Pandas, NLTK)