Vice President

About this role

Company: BlackRock Financial Management, Inc.

Job Title: Vice President

Location: 820 Ramona Street Palo Alto, CA 94301

Job Duties: Design, develop, and implement advanced AI and machine learning solutions to optimize investment strategies, mitigate risks, and enhance trading workflows. Leverage expertise in statistical analysis, quantitative modeling, and algorithm design to address complex challenges in financial applications. Collaborate with cross-functional teams to architect and maintain scalable, efficient machine learning pipelines. Analyze large datasets to extract actionable insights and support data-driven decision-making. Design, validate, and deploy predictive models and optimization algorithms to improve system performance and reliability. Stay at the forefront of advancements in AI, machine learning, and quantitative methods, integrating state-of-the-art techniques into solutions. Develop end-to-end solutions, ensuring seamless integration of machine learning models into production systems in collaboration with software engineering teams. Develop tools, libraries, and frameworks to streamline the deployment and management of AI solutions. Translate complex business requirements into technical solutions, collaborating with domain experts to align with organizational goals and objectives.

Qualifications: Master’s degree in Data Informatics, Data Science, Computer Science, Computer Engineering, Mathematics, or a related field and four (4) years of experience as an Associate, Data Science; Associate, Aladdin Product Group; Analyst, Aladdin Product Group; Programmer; or a related role. In the alternative, the employer will accept a Bachelor’s degree in Data Informatics, Computer Science, Computer Engineering, Mathematics, or a related field and six (6) years of experience as an Associate, Data Science; Associate, Aladdin Product Group; Analyst, Aladdin Product Group; Programmer; or a related role. Must have four (4) years of experience with: Data Science Frameworks including Supervised Learning, Clustering, Collaborative Filtering, Optimizations and Decision Models; Programming Languages including Python, JavaScript, SQL, Java, and Scala; Financing Models and Asset Valuations; AI Algorithms and Problem-solving; Data Storage including AWS, Azure, and Google Cloud; Advanced algorithm development; Investment strategy optimization; Trading workflow streamlining; Scalable machine learning pipeline design and implementation; Large dataset analysis; Predictive model development; Model testing and validation; Integration of quantitative models into production systems; Tool, library, and framework development for AI solutions; and Translating business requirements into quantitative models.

To apply, please click “Apply” on this webpage.

For PL1 - 820 Ramona Street, Palo Alto, San Mateo Only the salary range for this position is USD$172,900.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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.

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.

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

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

 

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.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.