Associate, Investment Risk Manager (Options Strategies) - NYC / Princeton, NJ

Expiring today

Employer
BlackRock
Location
New York, USA
Salary
Competitive
Posted
May 03, 2021
Closes
May 17, 2021
Ref
10909665
Job Function
Risk Management
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Description

About this role

What we do

BlackRock's business is investing on behalf of our clients, from large institutions to parents and grandparents, doctors and teachers who entrust their savings to us. We are committed to our clients-period. Our promise is to offer them the clearest thinking about what to do with their money and the products and services they need to secure a better financial future.

That's why investors of all kinds have made us the world's largest asset manager, entrusting us with trillions of dollars, and it's why companies, institutions and global governments come to us for help meeting their biggest financial challenges.

Job Description

Business Overview

BlackRock's Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock's fiduciary and enterprise risks. RQA Investment Risk's principal responsibility is to ensure that the risks in BlackRock's portfolios are fully understood by our portfolio managers and senior management and are consistent with clients' objectives. We also help build "state-of-the-practice" quantitative models and analytics that help inform risk taking and portfolio construction across the firm. RQA team members tackle real-world problems, using quantitative analysis and a multi-disciplinary skillset to provide tangible solutions in the investment management process.

SMA Active Equity Risk Management

You will partner with the Separately Managed Accounts (SMA) portfolio management teams to monitor investment risk of portfolios such as equity and option overlay strategy. BlackRock offers a comprehensive platform, managing investment mandates across a variety of vehicles, strategies and asset classes around the globe. Our platform features proprietary tools, expert and efficient trading, and the infrastructure necessary to meet the operational requirements our clients expect.

Key Responsibilities:

We are looking for an experienced candidate with strong quantitative and communication skills to join RQA's Investment Risk team to help manage risk across the Separately Managed Accounts (SMA) platform. The role requires an ability to apply quantitative techniques to real-world problems, including analyzing portfolio risk taking and understanding financial markets. Options experience is ideal.

Responsibilities include but are not limited to:
  • Partnering with investment teams and businesses to confirm that risks are fully understood, consistent with client objectives, and appropriately mitigated scaled given the investment risks
  • Understanding how macroeconomic factors drive the investment decision-making process
  • Helping portfolio managers with portfolio construction and scenario analysis
  • Regularly monitoring risks in the portfolios and presenting pertinent analyses on markets, portfolio risk and performance drivers to portfolio management teams
  • Apply concepts of portfolio construction, stress testing, risk & performance attribution, and liquidity analysis to real world investment problems
  • Helping to define and evolve the analytics and risk management framework over time to ensure adequate risk oversight


Qualifications:
  • At least 2 years of demonstrated experience in risk management, research, or portfolio management
  • An ability to explain complex ideas in simple but impactful terms in order to influence portfolio construction decisions
  • A passion for applying quantitative techniques to real-world problems including analyzing portfolio risk taking and understanding financial markets
  • Experience with equity derivatives, option trading strategies and option valuation
  • Strong knowledge of equity markets and portfolio construction techniques
  • Experience with scenario analysis, stress-testing, equity risk factor models, performance attribution, and other risk-related metrics and tools
  • A degree in mathematics, quantitative finance, computer science, economics, statistics, engineering or another quantitative field
  • Solid coding skills, e.g. R, Python
  • FRM or CFA designation is a plus


Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

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.

For additional information on BlackRock, please visit careers.blackrock.com | www.blackrock.com/corporate | Instagram: @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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