Risk Specialist - Risk Analytics ( 6 Months FTC)

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! GENERAL DESCRIPTION

• Key responsibilities of Risk Analytics team in Bank of Singapore:
• The team produces analytics for risk and front office users, that adds value to their day-to-day function, helping them better understand the portfolio risk and composition, such as trend analysis, identify concentration risk.
• The team performs periodical stress testing of portfolios, to help calibrate risk appetite to a fast-evolving global market.
• The team is also instrumental in providing thought leadership for all data analytics projects within Risk and to manage risk reporting efforts for senior leadership.

• Leverage on risk management experience or data analytics techniques to uncover risk and opportunities
• Develop tools to enhance risk analytics capabilities of the department
• Use python and SQL programming languages to develop tools for data validation, manipulation and aggregation
• Develop Power BI dashboards for data visualisation and analysis
• Collaborate with internal and external stakeholders to drive the end-to-end planning and delivery of the risk solutions
• Grasp risk problems or business needs quickly and independently suggest ideas for enhancements

• Relevant experience in risk management is preferred
• Robust stakeholder management and good interpersonal skills. Ability to work confidently and collaboratively with cross-functional stakeholders of varying seniority.
• Experience in credit risk analysis or project management is preferred
• Good understanding of private banking business and products and risk events in financial markets
• Results and detail-oriented, with strong intuition on how to solve problems creatively and quickly

• Good University or a Post Graduate degree, preferably in the field of Analytics, Statistics, Engineering, Information Technology, Data Sciences, Math or related fields.
• Proficiency in Python, Power BI and SQL or demonstrate willingness to learn