Business Assurance Expert

2 weeks ago

Singapore beBeeDataAnalyst Full time $150,000 - $200,000
Job Title: Business Assurance Expert

At the heart of our organization, we have a critical need for an experienced Business Assurance Expert who will be instrumental in driving excellence across our operations.

This pivotal role requires a seasoned professional with expertise in data analytics, assurance reviews, and risk monitoring. As a key member of our team, you will play a vital part in enhancing our review coverage, accuracy, and productivity through innovative automation of assurance testing processes.

  • Develop and maintain robust data models, dashboards, and analytics use cases to support informed decision-making and risk assessment.
  • Contribute to the integration of structured and unstructured data sources into centralized analytics platforms, ensuring seamless data flow and insights generation.
  • Apply advanced statistical tools and models to perform in-depth data analytics, identifying key trends and deriving actionable insights from risk-related datasets.
  • Maintain the highest standards of data quality and integrity by performing meticulous data cleansing, validation, and transformation.
  • Champion the use of Data Analytics and partner with regional counterparts on DA initiatives that drive strategic business outcomes.
  • Stay abreast of emerging trends and best practices in data science and advanced analytics, recommending adoption where beneficial.
Requirements:
  • Bachelor's degree in a quantitative field such as Data Science, Computer Science, or Information Systems; a Master's degree is a strong asset.
  • Domain knowledge in banking &/or technology processes is highly desirable.
  • A minimum of 8 years' experience in data analytics, preferably within financial services, technology risk, internal audit, and compliance.
  • Strong understanding of business application architecture and proficiency in data transformation and visualization techniques.
  • Knowledge of a variety of predictive models, machine learning/artificial intelligence algorithms, and statistical techniques.
  • Technical proficiency in programming languages (Python, R, SQL, SAS), big data platforms (Cloudera, Hadoop, Hive, Spark), and visualization tools (Qlik, Power BI).
  • Relevant understanding of data governance practices, including data lineage, quality, and stewardship.
  • Excellent communication skills with the ability to translate technical findings into business insights.
  • Strong problem-solving skills with an analytical mindset and the ability to work independently and collaboratively.
Key Skills:
  • Assurance Expertise
  • Advanced Analytics
  • Data Science
  • Business Application Architecture
  • Process Automation
  • Statistical Analysis
  • Machine Learning
  • Data Governance
  • Visualization
  • Power BI

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