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!
Risk advisory and methodology team in Bank of Singapore has two key responsibilities: Methodology Framework: The team the owns and maintains the firm's collateral lending and derivatives margining methodology, performing analytics to ensure the models are in line with the market risk levels, and ensuring the methodology is aligned to private banking industry's standards and approach. The team conducts periodical risk calibrations, back testing, analysis and model enhancements to help ensure these objectives are continuously met. Risk Analytics and Advisory: The team also produces analytics for risk and front office users, that adds value to their day-to-day helping them crisply understand the portfolio risk and composition. The analytics are also intended to make risk monitoring and reporting be more automated and simplified helping users to identify and understand key areas of focus from a risk perspective. Other responsibilities for the team include perform periodical stress testing of portfolios, to calibrate risk appetite to a fast evolving global markets, streamline and tighten existing BAU process, provide thought leadership and support from a business perspective on the change initiatives that are either run bank wide or within risk, and to manage risk reporting effort for senior leadership.
Roles and Responsibilities:
Senior Risk Manager role to drive review and enhancement of risk methodology while adding value to the team's analytics and advisory effort
To enhance the existing documentation and help build the model library for the inventory of existing models
To guide the team to perform required quantitative analytics to ensure the models in use continue to remain fit for purpose and propose changes or model enhancements where necessary
To help support the ongoing model validation efforts
Foster collaboration with Front Office and products team to both assist them in various risk mitigation strategies and also to ensure our margining approach continues to remain aligned to the PB industry standards
Be able to independently suggest ideas for model enhancements, based on a strong understanding of the risk and return drivers for different asset classes
Provide guidance and support to Senior Management on collateral margining methodology specifically as it relates to Product, Market and Regulatory Risk matters.
Good University or a Post Graduate degree, preferably in the field of quantitative finance
Proficient in Python, VBA, SQL and be an advanced Bloomberg/Reuters user.
At least 5+ years of relevant experience - preferably in Private banking, but other areas including asset management and investment banking will also be considered
Have a strong cross asset experience and a keen interest and understanding of the markets - factors that drive different asset class returns and their risk
Good knowledge of financial products - cash products and derivatives (along with the greeks)
Knowledge and experience in the areas of investment risk and portfolio attribution are an advantage
Additional Experience in project management and change initiatives is helpful.