svp, data innovation and decision science in Kuala Lumpur

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job details

kuala lumpur, wilayah persekutuan
banking & financial services
job type
reference number
leong kok yuen, randstad
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job description

About our client

Our client is a South East Asia focused financial institution conglomerate headquartered in Singapore with presence across South East Asia. Our client is looking for candidate to take on a Senior Vice President, Innovation and Decision Science role based in Kuala Lumpur.

About the role

The candidate should have analytical mind with sound business knowledge and strong project management experience, and strong desire to proactively drive better business decision making through the use of decision science and business intelligence. Whilst this role focuses on developing analytics approach for audits and process automation, the person later will need to know various aspect of auditing starting from audit planning and risk assessment of the auditable entities in accordance with Internal Audit standards, regulatory requirements and statutes, and best practices to identify emerging risks and industry issues and assess their implications to the auditable entities.

This role requires initiatives to identify and pursue tasks to achieve the overall objectives. The role requires much creativity and analytical capability to apply analytic use case to certain business segment from different stakeholders.

The candidate is required to be able to lead a team of data scientist in organizing and analyzing large datasets to get actionable insights. This may include finding innovative ways to manage the data that do not naturally mesh from all kinds of different sources, or from web APIs, to internal databases encoded in SQL. Experience in using programming tools (e.g. SQL, R, ACL, Python, SAS, JSON), statistical software, data visualization tools (Tableau, Qlik Sense) and preferred someone that already familiar with HADOOP platform.

Domain Knowledge

  • Have background related to banking business/ financial institution aspect
  • Strong Business acumen in Digital Banking and Fintech business preferable
  • Database infrastructure development and maintenance
  • Process automation, RPA preferable
  • Machine learning, data transformation and visualization techniques

About the responsibilities

  • Lead a team of data scientist and manage project management of Data Analytics (DA) related project assigned to the team
  • Plan and perform Risk Profiling of assigned entities and all aspects of assessments in accordance with Group Audit standards, regulatory requirements and statutes, and best practices and maximizing the use of data analytics.
  • Lead and execute automation of audit processes and develop continuous auditing process via establishment of audit dashboard.
  • Identify emerging risks and industry issues, and assess the implications for the audit entity. In specific related to digital banking trend, big data technology and social media use.
  • Apply technology and data analytics to improve audit work processes and quality, such as the usage of Machine Learning technology.

About the requirements

  • Possess a recognized degree or equivalent professional qualifications/credentials with 10 or more years of relevant audit/ business/ risk experience and quantitative data analysis to solve problem and able to accommodate a manageable amount of travel.
  • Related qualification and certifications (such as CPA, ACA, CFA, CIA, CISA) are a plus
  • Strong analytical and problem solving skills with strong interpersonal skills for all levels of internal and external audit and management
  • Able to manage team diversity and reap the very best of the team member and provide direction and technical guidance to the data scientist team being lead
  • Able to organize and analyze large datasets and good in performing exploratory data analysis for actionable insights.
  • Able to automate audit processes and create meaningful data visualizations to create business impact.
  • Able to apply various machine learning techniques (Random Forest, Least Mean Square, Support Vector Machine, Natural Language Processing, etc) and data mining for processing, cleansing, and verifying the integrity of data used for data analytics
  • Expert in SQL and other programming languages (e.g. R, Python, ACL, SAS, JSON), statistical software and data visualization tools (Tableau, Qlik Sense) with experience/ familiarity in working under HADOOP platform
  • Able to work well under pressure to meet tight deadlines and cope with change and diversity in a fast-paced environment.
  • Able to successfully coordinate and work well among team members and inspire others to take initiative and use intuitive thinking.
  • Collaborative and customer oriented while resourceful and results drive

Interested, please send your resume to