Director, Analytics Specialist
BlackRockAbout the role
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
The Americas Fixed Income Portfolio Analytics Lead will engage with our Investment Departments across the Portfolio Management Group (PMG) and Blackrock Global Market (BGM) to understand their analytical and technological needs from a fixed income perspective. The role involves building a deep understanding of the investment process, modelling requirements and the ability to deliver advanced applied analytical solutions. This candidate will oversee a cohesive strategy to continually evolve the agenda of PAG (Portfolio Analytics Group) to deliver high-impact solutions and, the delivery of proprietary python applications that complement core Aladdin tools.
Business Unit Overview:
Join a diverse and collaborative team of technologists in the Portfolio Analytics Group who are responsible for the research and development of applied solution produced for BlackRock. This group is part of the Aladdin Financial Engineering (AFE) division which contributes more generally to the infrastructure platform, production of analytics, and the delivery of content to portfolio and risk management professionals (both within and outside BlackRock). Given the diversity of business objectives within BlackRock and across the external Aladdin client community, the models developed and supported by AFE span a wide array of financial products (equities, fixed income, commodities, derivatives, and private markets).
Strong candidates will bring a leadership voice, grounded in their broad-based experience across analytics and modelling. You will be leading a team of 3 individuals and take accountability and ownership of the solutions the team delivered for the region. You will also work with senior stakeholders on developing a dynamic feedback loop, identifying new opportunities, and guiding analytical/technological roadmap in the applied space.
Key Responsibilities:
Establish strong working relationships across AFE , PMG and BGM to deliver advanced solutions from a modelling and analytical perspective
Identify opportunities with stakeholders for the execution of new ideas, tools, and platforms.
Set strategy, stakeholder engagement, partner management, and team organization to deliver the highest ROI
Provide thought leadership on advances in Data Science, AI and modelling techniques
Ensure successful, high-impact delivery of advanced python script aligned to the regional strategies of the Investment Departments
Serve as a senior, credible representative of PAG who manages relationships with senior stakeholders
Experience:
10+ years of experience working with financial modeling techniques and the use of technology to deliver analytical solutions
Proven success in orchestrating cross functional, technical projects
Proficiency working with both technical developers and financial modelers, as well as portfolio management
Excellent interpersonal skills with the ability to build strong relationships with internal stakeholders
Have a proven experience and ability to train others in coding and modelling
Strong knowledge and high coding standard in python
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