【BlackRock】Vice President, Operational Risk Manager, Enterprise Risk Management
仕事内容
Based in Hong Kong/ Singapore, the candidate will work as part of a global team in a fast-paced environment to address concurrent time-sensitive risk issues and deliver timely analyses with senior leader visibility, specifically:
Leverage internal network, industry knowledge, and data to independently identify, assess, and address emerging operating risks and trends across various business lines (e.g., Active Portfolio Management, Index Strategies, Private Markets).
応募資格(必須経験など)
Bachelor’s degree in STEM, Finance, Economics, or Business program • Results focused, holding self and others accountable for delivering outcomes.
• Proactive self-starter with intellectual curiosity about how things work and confidence to take initiative in uncertain conditions
. • Ability to quickly understand complex issues through independent research and asking thoughtful questions of subject matter experts.
• Thrive in a fast-paced environment and managing multiple priorities simultaneously without losing sight of the big picture
. • Excellent analytical skills and ability to identify emerging risks, summarize issues and communicate risk themes and trends with impact.
• Excellent written and verbal communication skills and able to present to senior stakeholders with influence and impact.
• A proven record of constructively challenging the business on its risk management practices and control environment, together with influencing business priorities and outcomes.
• Good negotiation skills, ability to resolve conflict between teams or individuals so that functional / organizational objectives are achieved through teamwork, collaboration and stakeholder engagement.
• Experience working directly within the investment lifecycle (Portfolio Management, Trading, Portfolio Guideline Compliance, Middle Office, etc).
• Basic understanding of using and or building datastores to improve the scalability and accuracy of ad hoc research and recurring reporting.
• Proficiency in risk modeling, data analysis and visualization using SQL, Python, R, Tableau etc. preferred