Vice President, Quantitative Portfolio Management
Vice President, Quantitative Portfolio Management

Vice President, Quantitative Portfolio Management

Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative quantitative portfolio management and research to drive client success.
  • Company: Join BlackRock, a leader in systematic investment with a collaborative culture.
  • Benefits: Enjoy flexible time off, education reimbursement, and comprehensive health resources.
  • Why this job: Make a real impact in finance while working with cutting-edge technology and data.
  • Qualifications: Degree in a quantitative field and 2-5 years of relevant investment experience.
  • Other info: Dynamic hybrid work model fostering collaboration and personal growth.

The predicted salary is between 72000 - 108000 £ per year.

Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment division. We invest over $300 billion of client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 40 years. We believe continual research and innovation are critical to our ongoing success, undertaken in a multi-disciplinary approach that intersects traditional finance and economics with data and computer science. Our clients include corporate pension plans, public pension plans, central banks, sovereign wealth funds and other institutional investors.

SAE is seeking a candidate passionate about quantitative equity portfolio management, with location flexibility: London, New York, San Francisco, or Hong Kong. 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. We are seeking individuals with solid technical knowledge, experience in the investment industry and a proven track record of generating alpha for quantitatively-oriented investment strategies. Expertise or experience in market microstructure and capital markets would be advantageous. Qualified candidates will have an interest in markets, a strong belief in a scientific and systematic approach to active management, a passion to solve difficult problems with technology, and an ability to thrive in an open and collaborative team environment.

Key Responsibilities

  • Research responsibilities
  • 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 Management responsibilities
    • 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

    Required Competencies

    • 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

    Desired Qualifications / Skills

    • 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)

    Our benefits

    To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: 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; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

    Our hybrid work model

    BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

    About BlackRock

    At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

    Vice President, Quantitative Portfolio Management employer: LGBT Great

    At BlackRock, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through comprehensive benefits, including flexible time off, education reimbursement, and resources for physical and emotional well-being. With locations in major financial hubs like London, New York, San Francisco, and Hong Kong, we provide a unique opportunity for professionals in quantitative portfolio management to thrive in a supportive environment while making a meaningful impact on global investment strategies.
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    Contact Detail:

    LGBT Great Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Vice President, Quantitative Portfolio Management

    ✨Tip Number 1

    Network like a pro! Reach out to folks in the industry, especially those at BlackRock or similar firms. A friendly chat can open doors and give you insights that a job description just can't.

    ✨Tip Number 2

    Prepare for interviews by diving deep into quantitative portfolio management topics. Brush up on your knowledge of market microstructure and be ready to discuss how you’ve generated alpha in past roles.

    ✨Tip Number 3

    Showcase your passion for technology and problem-solving during interviews. Share examples of how you've used data science or machine learning to tackle investment challenges – it’ll make you stand out!

    ✨Tip Number 4

    Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at BlackRock.

    We think you need these skills to ace Vice President, Quantitative Portfolio Management

    Quantitative Portfolio Management
    Mathematical Modelling
    Computer Programming
    Data Analysis
    Statistical Concepts
    Machine Learning
    Market Microstructure
    Capital Markets Knowledge
    Performance Analysis
    Risk Factor Monitoring
    Portfolio Construction
    SQL
    Python
    Unix OS
    Distributed Computing Platforms

    Some tips for your application 🫡

    Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in quantitative portfolio management. We want to see how your skills align with our mission at SAE, so don’t hold back on showcasing your relevant achievements!

    Showcase Your Technical Skills: Since we’re all about data and technology, be sure to emphasise your technical expertise. Mention any experience you have with statistical methods, machine learning, or programming languages like Python. This will help us see how you can contribute to our innovative approach.

    Communicate Clearly: Your written communication skills are key! Make sure your application is clear and concise. We appreciate well-structured documents that convey your thoughts effectively, so take the time to proofread and polish your writing.

    Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!

    How to prepare for a job interview at LGBT Great

    ✨Know Your Quantitative Stuff

    Make sure you brush up on your quantitative finance knowledge. Be ready to discuss mathematical models, statistical concepts, and how they apply to portfolio management. Show them you can think critically about data and its implications in real-world scenarios.

    ✨Showcase Your Research Skills

    Prepare to talk about your past research experiences. Highlight any innovative signal research or strategies you've developed. Be specific about the methodologies you used and the outcomes achieved, as this will demonstrate your ability to contribute to their systematic investment approach.

    ✨Communicate Clearly

    Since excellent communication is key, practice explaining complex ideas in simple terms. You might be asked to present your thoughts on a model or strategy, so being articulate and clear will help you stand out. Remember, it's not just about what you know, but how you share that knowledge.

    ✨Emphasise Teamwork

    BlackRock values collaboration, so be prepared to discuss how you've worked effectively in teams. Share examples of how you've contributed to a team environment, fostered knowledge sharing, and tackled challenges together. This will show you're a good fit for their culture.

    Vice President, Quantitative Portfolio Management
    LGBT Great
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