As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Why JoinAs an Analyst in the Credit Infrastructure & Solution Team, you'll play a crucial role in measuring, managing and optimising risks. You'll work closely with stakeholders to design, implement, and maintain credit risk systems and models, driving business outcomes and mitigating risk. With the bank's strong commitment to innovation and excellence, you'll have the opportunity to build a fulfilling career and make a lasting impact.
How you succeedTo succeed in this role, you should possess a strong data engineering background and good communication skill to facilitate data analytics and reporting of credit risk, ideally having 3 to 5 years of relevant experience. It involves engineering data infrastructure and systems, developing and implementing analytical applications such as data monitoring tools to efficiently obtain data-driven insights for the Bank’s credit portfolio.
Candidates will have advantage with good understanding in Basel Framework, MAS637 regulations and credit products, conducting regular credit portfolio/financial reporting exercises in financial institutions.
What you doParticipate in credit risk data engineering tasks, which may include coding and testing data transformation and aggregation processes, developing and implementing analytical applications to monitor data integrity and obtain data-driven insights.
Optimise methodologies in measuring credit risk and capital requirement, communicate the business impacts with stakeholders, e.g. advise business on the appropriate Credit RWA treatment, and improve/automate reporting processes.
Prepare and ensure data quality for regulatory and management credit risk reports.
Strong interpersonal and communication skills to engage internal and external stakeholders.
Self-motivated and detailed oriented team player who can multi-task in a fast-paced environment.
Good understanding of banking products and risk management concepts.
Independent, creative, with a pro-active problem-solving mindset.
Proficient in programming languages such as SQL, Python and Python-based open-source analytical libraries and Microsoft Office applications including Power BI.
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
Top Skills
OCBC Bank Singapore Office
65 Chulia St, Singapore, 049513