At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group???s global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today!
Bank of Singapore opens doors to new opportunities. At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programs that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group's global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today! Overview Operations is primarily responsible for delivering the services that help drive the business; we are driven by excellence in efficiencies, risk management and client fulfillment. People are at the heart of Operations. Reporting to head of Operations, the senior data analysts will support the operations in the adoption of the python, Power BI and other data analytics tools. This is to implement a culture of self-service of data and analytics with the bank. His/her strong knowledge in SQL/python, business and data analytics will support the bank in accelerating its use of data for business and operational decisions. The senior data analyst will support the development of the strategic agenda and system deployment for analytics and visualization including technology and system roadmap. The senior data analyst needs to have good understanding of operations processes, transformational change, stakeholder management, data analytics, and operational governance knowledge. Responsibilities:
Analyse customer, transactional and external data to develop insights on user behaviours and/or risks
Leverage on data analytics knowledge & experience to facilitate business to uncover the business pattern.
Expect incumbent to provide business support, including reporting tool migration onto Python and Power BI, as business is embarking on self-service journey for business intelligence and analytics.
Training end users on new reports and dashboards.
Develop and communicate insights and recommended actions to stakeholders to reduce risk or improve business productivity and insight
Conduct data investigations and analysis on trends and insights that have been identified by stakeholders
Explore business issues/opportunities, uncover insights and/or identify targeted areas for mitigating risk and increasing bank's profitability.
Maintain and monitor key metrics and alert the business on potential issues
Work with operations teams to translate requirements and leveraging on organisational resources to develop solutions.
Minimum Bachelor's Degree in Analytics, Statistics, Business, Economics, Engineering, Information Technology, Data Sciences, Math or related fields.
Experience/Certification in data analytics tool such as Power BI, Python, VBA
7+ years of experience as a hands-on analyst in bank or financial services environment
Familiar with reporting requirement from various part of the operations functions and an appreciation of private banking business
Experience in managing complex, cross-functional technology-related projects in banking.
Passionate about solving problems - possesses a relentless need for investigation and data exploration
A driven self-starter who is delivery focused and possesses strong communication, influencing and presentation skills
Robust stakeholder management skills and good interpersonal skills. Ability to work confidently and collaboratively with cross-functional stakeholders of varying seniority.
Strong foundation in data query/manipulation of large-scale data using SQL and data visualisation experience using tools such as Power BI
Working experience of any of the data analysis tools such as Python or R and ability to learn more advanced data analysis methods
Experience with application of experimentation and statistical techniques (such as hypothesis testing, probability distributions, regression, decision trees, etc.)
Excellent written and verbal communicator to both technical and business audiences
Ability to make sound judgement calls independently when presented with difficult decisions, especially when only partial information is available
Ability to take initiative in a heavily regulated environment with strong training abilities
Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly