About this role
About this role
Vice President – Advance Analytics
About Aladdin Data:
Aladdin Data team is a part of BlackRock's 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 Aladdin’s 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.
Lead the build-out of end-to-end data & analytics solutions for client needs
Work with analytics experts and researchers to help craft the delivery pipeline including change management, attribution & pattern recognition
Build and deliver technical analyses to help better understand the client usages patterns and how our offering can be applied to their business problems
Build end-to-end pipelines/PoC’s for analytics governance & the change management across analytics estate partnering with various analytics stakeholders to ensure analytics integrity
Building GenAI-powered agents and workflows using state-of-the-art LLMs and orchestration frameworks
Understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes
Develop analytics attribution framework by utilizing data science & AI/ML techniques advancing analytics governance practices
Mentor and train junior analysts as they build expertise and gain exposure
Experience:
Candidates must have a proven history of addressing challenging real-world issues in investment and risk management sectors. The individual will be required to utilize their advanced technical and quantitative abilities to build tech & AI based solution aimed at enhancing the analytics estate, scale & client experience
8+ 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, quant/data engineering & technology functions
Proven track record to build GenAI powered Agents to solve financial domain problems, and strong expertise in customizing and fine-tuning large language models (LLMs) for domain-specific tasks and performance optimization
Proven track to use Agentic-AI & AI tools in technology build process & solution build process for faster iterations & productivity gains
Experience in leading cross-functional initiatives, with strong communication skills and project management ability
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:
Bachelor/master’s degree in engineering preferably in computer science domain. Other engineering degrees are also fine with exposure to engineering, quant implementation & AI exposure
Excellent quantitative and technical skills. Ability to identify problems, design and articulate solutions, and implement end to end solutions
Experience in various programming languages, Python is preferred
Proficiency with GenAI tools and platforms (e.g., LangChain, LlamaIndex, OpenAI, Hugging Face) to develop scalable, intelligent applications
Technical aptitude and experience in using data science, AI/ML techniques to solve problems in financial domains specifically in data & analytics space
Detail-oriented, organized, self-driven and committed to lead multiple projects
Ability to prioritize and meet deadlines while multi-tasking with string communication skills
Knowledge & understanding of financial markets, data, analytics & processes driving 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
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 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.
