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Manager, Digital Analytics Finance

Employer
Standard Chartered Bank
Location
Singapore, Singapore
Salary
Negotiable
Closing date
Jun 28, 2019

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Job Function
Accounting/Audit/Tax
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
The Role Responsibilities

The role is within the Global Financial Planning and Analytics team, an area that is dynamic and high-profile. Expectations on the job are set high. Growth opportunities are attractive, as the job offers a platform for preparation and presentation of analytics towards more senior or diverse roles in the team, finance, business and key strategic functions.
  • The Group FP&A team is driving the build of a data platform, visual analytics and interactive dashboards for the Finance function and business leaders across the bank.
  • This is a key role in the build team which will design the architecture and analytics that will be used across the function.
  • Designing dashboards in Tableau based on defined set of requirements. Come up with innovative ways of presenting dashboard based on analysis.
  • Collect, review and analyze financial data information from multiple sources and update reports/databases in accurate and timely manner
  • Understand the data infrastructure, transform and model data to perform analytics and build dashboards using various programming languages and tools.
  • Run variance / trend / scenario / sensitivity / composition analysis, deriving options and recommendations for top management decision
  • Support the expansion of Franchise Economic Value Added - the Bank's primary returns framework - with analytics at business and client level.
  • Support quantitative analytics and machine learning team in modelling business performance
  • Preparation, delivery and presentation of balance sheet information and analytical packs for senior management
  • Deliver creative ideas to continuously improve the team's analytical insight and influence on decision-making

Our Ideal Candidate
  • Tableau work experience for minimum of 2-3 years
  • Strong academic record at bachelor or master degree level in business, economics, finance from a well-recognized institution
  • Work experience on developing database model, meta data catalogues and data profiling
  • Work experience developing data wrangling processes using tools, SQL, R and Python
  • Understanding of machine learning modelling with a focus on prediction and anomaly detection
  • Work experience on business intelligence performance engineering
  • Work experience on implementation of database driven data security
  • Understanding of Power Pivot, Power Query and MS Analysis Services
  • Excellent communication and interpersonal skills, comfortable working with colleagues from different time zones and cultures.
  • Proven strategic and analytical skills with a strong appetite for finding facts and offering solutions
  • Qualification towards CFA or FRM will be considered positively


Apply now to join the Bank for those with big career ambitions.

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