OUR IMPACT
Operations is a dynamic, multi-faceted division that partners with all parts of the firm to deliver banking, sales and trading and asset management capabilities to clients around the world. In addition, Operations provides essential risk management and control to preserve and enhance the firm’s assets and its reputation. For every trade agreed, every new product launched or market entered, every transaction completed, it is Operations that develops the processes and controls that makes business flow.
YOUR IMPACT
Asset & Wealth Management (AWM) Private Business Intelligence Associate will contribute to leading programs by delivering business and artificial intelligence analytics initiatives. This role will combine accountability and responsibility for delivering automated solutions and business analytics, by taking advantage of artificial intelligence, process automation and data visualization tools, to generate business value.
As a business intelligence specialist, your efforts will involve providing solutions to impactful business initiatives. You will be engaging directly with business representatives and subject matter experts to drive value in line with Asset Management Division strategy while ensuring algorithms, low code assets, and user experience are continually improved to meet organisation growth strategy.
HOW YOU WILL FULFILL YOUR POTENTIAL
Analyse big data and undertake exploratory data analysis while observing best practises for experimentation / analysisDevelop business intelligence applications and present outcomesDesign indicators of business intelligence application performance and risk metricsSynthesize analysis results to inform business outcomesIdentify, escalate and resolve systems and algorithm performance trends or issuesDeliver business intelligence products in the content of your organisations change agendaTrack and report progress on projects, adhering to the solution delivery lifecycleSeek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomesCollaborate with other solution experts / advisors to share ideas / code through showcasing outputsExtend / modify analysis / development based on observations of data, process limitations and implications of outcomesContribute to ongoing incubation of new low code applicationsLead oversight of client / customer / stakeholder engagements to drive low code opportunitiesPartner with Engineering to ensure low code is provisioned in the context of your firms’ wider technology architecture strategy
SKILLS & EXPERIENCE WE’RE LOOKING FOR
BASIC QUALIFICATIONS
Basic Qualifications
At least 5 years’ experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder ManagementAt least 3-5 years’ experience in (1) data analytics, (2) data visualisation, (3) computer programming and / or (4) data governanceExperience in managing a team, coaching and developing othersBachelor’s degree or equivalent in Science, Technology, Engineering or MathematicsRelevant experience in Consumer, Financial, Social Media, FinTechPractitioner in business intelligence and/or artificial intelligence methodologies and their value / limitationsSoftware design and application of software according to the day-to-day realities of the businessKnowledge of data related emerging trends and issues including financial regulation
Soft Skills
Fast learner and effective communicator of new / complex informationSelf-motivated team player who is able to define, structure and prioritize work, but who has the flexibility to change priorities when circumstances dictateAble to develop cooperative and constructive working relations with strong cultural awarenessConfidence to challenge and be innovative
PREFERRED QUALIFICATIONS
Business
Financial Engineering and / or Alternatives Private Investment Management experienceAble to contextualise analysis in Confluence, JIRA, Microsoft Applications, etc.Working knowledge of programming languages (e.g. Ruby, java)
Solution Delivery
Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc.
Business Intelligence
Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)Working knowledge of workflow applications (e.g. ServiceNow)Working knowledge of database tools (e.g. Elastic, MS SQL Server, Legend)
Artificial Intelligence
Working knowledge of artificial intelligence programming languages (e.g. Python, R)Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn)Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)