Overview
Group Risk Portfolio Management
Description
Why Join
As a Credit Risk Data Scientist, you will be part of a team that drives the development of advanced analytics and machine learning models to assess and manage credit risk. You will have the opportunity to work with large datasets, develop predictive models, and influence business decisions. Join us and contribute to the bank’s risk management capabilities, while building a rewarding career in a dynamic and supportive team.
How you succeed
To succeed in this role, you will need to develop and implement advanced analytics and machine learning models to assess credit risk. This involves collating and analyzing large datasets, identifying patterns and trends, and developing predictive models that can inform business decisions. You will also need to work closely with stakeholders to understand their needs and develop solutions that meet their requirements.
What you do
Develop, implement, and maintain machine learning credit risk models supporting the Consumer, Small Business and Wholesale segments of the Group. - Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.
Develop and maintain user requirements, parameters and configurations of systems housing the models. Develop in-depth expertise in credit risk modelling methodologies. Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings. Engage with auditors and regulators to ensure compliance with relevant requirements. Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.
Who you work with
Group Risk Management works independently to protect, build, and drive our businesses. The team supports good decision-making with strong risk analysis and a crucial, comprehensive role in sharpening our competitive edge. Optimising risk-adjusted returns, it’s about seeking and adopting best-in-class practices, protecting the group from unforeseen losses, keeping risk within appetite, and embracing change and managing growth in one of the world’s strongest banks.
Qualifications
Who you are
Degree in a Quantitative discipline, such as Data Science, Statistics, Mathematics or Computer Science. At least 5-7 years of relevant experience in a related area. Working experience in credit analysis/modelling or credit risk management of Consumer, Small Business and/or Wholesale portfolios. Proficiency in common machine learning tools and frameworks (Scikit-Learn / Tensorflow / PyTorch). Experience with big data technologies such as Hadoop, Hive and Spark. Knowledge in ML-Ops tools and Git. Analytical and independent thinker with strong written and verbal communication skills. Ability to interact and communicate effectively with senior management. Willing to take on new challenges and work in a fast-paced environment.
Who we are
Singapore’s longest established bank, we’ve been helping people and businesses get what they want from life 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, embracing technology and creativity to become a future-ready learning organisation. But for all that change, our purpose remains: to enable people and communities to realise their aspirations.
What we offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth, and aspirations are every bit as cared for as the needs of our customers.
Primary Location
: Singapore
Job
: Risk Portfolio Management
Organization
: Group Risk Portfolio Management
Schedule
: Permanent
Job Posting
: 19-Feb-2025, 12:30:33 PM
About OCBC Bank
OCBC is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. It is now the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.
OCBC and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services.
OCBC’s key markets are Singapore, Malaysia, Indonesia and Greater China. It has more than 570 branches and representative offices in 19 countries and regions. These include about 300 branches and offices in Indonesia under subsidiary Bank OCBC NISP, and over 90 branches and offices in Mainland China, Hong Kong SAR and Macau SAR under OCBC Wing Hang.
OCBC’s private banking services are provided by its wholly-owned subsidiary Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals.
OCBC's insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia. Its asset management subsidiary, Lion Global Investors, is one of the largest private sector asset management companies in Southeast Asia.
