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Vice President, Quantitative Portfolio Management

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BlackRock Investments

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Location:
United Kingdom , London

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

SAE is seeking a candidate passionate about quantitative equity portfolio management. The candidate will become a member of the Global Mid Horizon (Statarb) investment team (horizon 1 day to 1 month), responsible for delivering innovative signal research and positively impacting portfolio management functions, with the ultimate aim of delivering consistent alpha to clients.

Job Responsibility:

  • Developing and maintaining mathematical, computer models and methodologies that support asset management activities such as predicting security returns and constructing portfolios
  • Performing rigorous research and simulation to validate model design choices and calibration of key parameters
  • Proposing new security selection strategies to colleagues and internal business partners
  • Portfolio rebalance and trade list generation, ensuring consistency with model insights and market environment
  • Analyzing performance to understand model and risk factor contributions to returns
  • Identifying and monitoring factor exposures and event risks and evolving our process to systematically manage emerging factors
  • Evaluating and improving model design, portfolio construction and overall implementation approach

Requirements:

  • Interpersonal skills that contribute to and foster a culture of teamwork and knowledge sharing
  • Willingness to produce high quality work in a demanding, fast-paced environment
  • Excellent verbal and written communication, and relationship-building skills
  • Detail-oriented, team-oriented and self-motivated
  • Degree in a quantitative field preferred (e.g. finance/economics, computer science, engineering, math, etc.)
  • Relevant quantitative experience in the investment management industry (2-5 years of experience)
  • Experience in equity, fixed income and / or commodity assets classes
  • Knowledge or experience working with intraday market data
  • Strong understanding of statistical and machine learning concepts and practical experience working with large data sets
  • Experience with Unix OS and large-scale distributed computing platforms (e.g. AWS, GCP, Azure)
  • Proficient in use of databases (e.g. SQL, Redshift, BigQuery), and data science programming languages (e.g. Python)

Nice to have:

Expertise or experience in market microstructure and capital markets would be advantageous.

What we offer:
  • Retirement investment and tools designed to help you in building a sound financial future
  • Access to education reimbursement
  • Comprehensive resources to support your physical health and emotional well-being
  • Family support programs
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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