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BlackRock

Private Analytics Stewardship, Associate

Edinburgh
Posted about 22 hours ago
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About this role

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 the highest standard of quality and are delivered at scale. Analytics Stewards work along with Client Business, Product, Engineering, Operation, and broader Aladdin Data teams on design, improvement, development, and deployment of new and existing analytics.

We are currently hiring for a role within the team focusing on Private Markets.

Responsibilities

  • Act as an owner of analytics solutions supported by the Aladdin Data platform. Aspire to grow & improve the analytics estate and increase its commercial value
  • Be the custodian of analytics (by ensuring completeness, accuracy, and proper governance)
  • Provide analytical data and platform expertise to address dynamic business requirements, market developments, regulatory modifications, and newly introduced financial products.
  • Articulate design of potential analytics solutions, develop proof of concept, and facilitate alignment with partner teams
  • Understanding of single security risk models and portfolio risk & return methodologies with a particular focus on Private Markets and alignment with Publics for Whole Portfolio Analysis
  • Be at the forefront of defining the future of Whole Portfolio analytics within Aladdin and through the integration of eFront and Preqin capabilities
  • Address complex analytical questions with expertise in models and analytics.

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 quantitative abilities to oversee complex initiatives aimed at enhancing the analytics platform.
  • 4+ years of experience in capital market, investments, or financial technology industry, managing investment, risk, and/or performance analytics from modeling, data, or services perspective
  • Understanding of single security risk models and portfolio risk & return methodologies
  • Track record of working with financial markets, investment and risk analytics, and data management functions
  • Experience working as part of cross-functional initiatives, with strong communication skills and project management ability
  • Aladdin experiences from capital market, financial services firms is a plus
  • Experience working within Agile project management frameworks is a plus (including tooling such as Azure DevOps)

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

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£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Skills

  • Proficiency in analytical skills and the capability to develop expertise in Aladdin’s proprietary models, encompassing fixed income analytics, multi-asset investment analytics, value-at-risk (VaR), and performance attribution.
  • Strong problem-solving skills, attention to detail, and an ability to navigate the analytics platform for conducting analysis and deriving solutions
  • Enthusiasm for, and comfort with, working in a high pressure and fast-paced environment with entrepreneurial and team-oriented setting
  • Strong project management skills. Ability to prioritize deliverables/enquiries when multi-tasking, structure multiple communication streams and manage workflows.
  • Ability to navigate large organization, coordinate horizontally to deliver end-to-end solution

Qualifications

  • Degree in finance, engineering, mathematics, quantitative, or related discipline. Bachelor’s degree is required. Advance degree preferred.
  • Proficient with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, etc.
  • Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus.

Our benefits

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including:

  • Retirement investment and tools designed to help you in building a sound financial future
  • Access to education reimbursement
  • Comprehensive resources to support your physical health and emotional well-being
  • Family support programs
  • 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.

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Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

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.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation, and other protected characteristics at law.

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Skills

Data management
Analytics delivery
Risk modeling
Portfolio risk
Return methodologies
Private markets
SQL
Python
Jupyter Notebook
Unix
Project management
Agile
Financial modeling
Performance attribution
Value-at-risk
Communication

Location

Edinburgh, Scotland, United Kingdom

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