Analytics Governance, Analytics Stewardship, Director

Job Description

About This Role

About Aladdin Data:

Aladdin Data team is a part of BlackRock&aposs Aladdin platform, which is a comprehensive investment and risk management system. The team is responsible for various aspects of data management and analytics delivery for our clients and BlackRock within the Aladdin ecosystem.

About The Analytics Stewardship Team

Analytics Stewardship team brings together the functional expertise and responsibilities within the Aladdin Data organization to ensure Aladdins investment and risk analytics meets highest standard of quality and are delivered at scale. Analytics Stewards works along with Client Business, Product, Engineering, and broader Aladdin Data teams on design, improvement, development and deployment of new and existing analytics.

Leveraging financial market and analytics subject matter expertise, data science and engineering knowledge, and data governance principles, the team designs and supports Analytics Data solutions, which spans across quality management, change management, meta data management, incident/inquiry management and commercialization of analytics data assets.

Responsibilities

- Act as an owner of analytics data supported by Aladdin Data platform. Aspire to grow & improve the analytics data assets and increase their commercial value.
- Own the change management across analytics estate partnering with various analytics collaborators to ensure analytics integrity
- Apply advanced analytics and interpersonal skills to collaborate with analytics collaborators and articulate clear specifications for change management
- Deep understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes
- Develop analytics attribution framework by applying data science & AI/ML techniques advancing analytics governance practices
- Collaborate with broader Aladdin team to scale and advance Aladdins analytical capabilities
- Work with analytics, modeling, and risk management teams to ensure new models meet business requirements and are aligned with data management policies
- Be the custodian of core & premium analytics ensuring analytics generated meets all quality and governance standards
- Lead by example to work with other data governance & quality control teams to build scalable processes to improve overall framework for analytics generation
- Mentor and train junior analysts as they build expertise and gain exposure

Experience

Candidates must have a validated history of addressing challenging real-world issues in investment and risk management sector. The individual will need to apply their advanced quantitative abilities to lead all aspects of sophisticated analytical initiatives sought at improving the analytics estate

- 12+ years of experience in the financial services industry in a Data Analytics/Data Science oriented role with knowledge of risk & investment workflows & products
- Proven track record of working with financial markets, investment and risk analytics, modeling, and data engineering & management functions
- Proven track record of using data science & AI/ML techniques to solve sophisticated analytics problems in financial industry
- Experience in leading cross-functional initiatives, with strong communication skills and project management ability
- Experience in various modelling techniques, econometrics/statistics is desirable
- Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment
- Excellent interpersonal, oral, and written communication skills

Skills & Qualification

- Degree in Engineering, Finance, Mathematics, or other quantitative field of study preferred. Bachelors degree is required. Advance degree preferred
- Excellent quantitative and analytics skills. Ability to identify problems, design and articulate solutions, and implement end to end solutions
- Experience in various modelling techniques, econometrics/statistics is desirable
- Technical proficiency and experience in using data science, AI/ML techniques to solve problems in financial domains specifically in data & modeling space
- Diligent, organized, dedicated and committed to lead multiple projects
- Ability to prioritize and meet deadlines while multi-tasking with strong interpersonal skills
- Extensive knowledge & understanding of financial markets, data, analytics & processes inspiring change in analytics (data, markets, models, configurations etc.)

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

BlackRocks 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 childrens 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. Its why were 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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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