EMEA Head of Risk at WorldQuant

London, England, United Kingdom

WorldQuant Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Quantitative Finance, Investment ManagementIndustries

Requirements

  • Expertise in solving for crowding risk and managing its impact on portfolio construction and performance
  • Experience with risk factor models and their pitfalls
  • Strong understanding of liquidity risk management, including stress testing and scenario analysis to ensure portfolio resilience
  • Ability to design and implement frameworks for monitoring and mitigating market risk and operational risk
  • Ability to design approaches to hedge undesirable risk
  • Experience optimizing capital allocation across strategies, ensuring efficient use of resources while adhering to risk guidelines
  • Proven ability to act as a leader in the risk management space, driving innovation and advancing best practices
  • Exceptional interpersonal skills, with the ability to engage effectively with portfolio managers, quants, data strategists, and technology groups
  • Comfort working with individuals across all levels, from new hires to senior leadership, fostering collaboration and alignment across teams
  • Strong leadership and communication skills, with the ability to influence and collaborate across diverse teams
  • High attention to detail and a commitment to delivering high-quality work under tight deadlines
  • Track record of thought leadership in risk management
  • Quantitative professional with expertise in statistical modeling
  • Experience and insights valuable to European markets

Responsibilities

  • Lead the EMEA Risk Team
  • Report directly to the Chief Risk Officer (CRO)
  • Shape the firm’s risk management framework
  • Drive innovation in risk analytics
  • Ensure effective oversight of portfolio and firm-wide risk exposures
  • Monitor and administer risk guidelines and limits via a governance structure
  • Contribute to regular portfolio reviews of the European book
  • Presentation of the most important risk metrics via Tableau dashboards, or other automated tooling
  • Collaborate with portfolio managers, quants, data strategists, and technology groups
  • Monitor portfolio exposures
  • Optimize capital allocation across strategies
  • Ensure alignment with the firm’s risk appetite
  • Mentor junior team members
  • Drive innovation in risk tools and processes

Skills

Statistical Modeling
Risk Factor Models
Crowding Risk Management
Capital Allocation
Liquidity Risk Management
Market Risk Management
Operational Risk Management
Quantitative Analysis
Risk Analytics
Portfolio Oversight

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters
2007Year Founded
$148.5MTotal Funding
N/ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Performance Bonus
Flexible Work Hours

Risks

Increased competition from AI-driven investment firms like ADIA.
Regulatory scrutiny on algorithmic trading practices is increasing globally.
Market volatility challenges the performance of algorithmic trading models.

Differentiation

WorldQuant employs over 1,000 professionals across 27 global offices.
The firm uses predictive algorithms to manage assets and generate client returns.
WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

Upsides

Increased focus on alternative data sources is gaining traction in quantitative finance.
Machine learning integration in portfolio management allows better market trend predictions.
Quantum computing offers potential for faster, complex calculations in algorithmic trading.

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