About this role
Your team
This role sits within Preqin, part of BlackRock, and is aligned to the Derived Data team. Preqin is a leading provider of private markets data and analytics, delivering trusted data, benchmarks, and insights that support decision-making across the private markets investment lifecycle. The team develops high-quality data products and scalable technology solutions that increase transparency and enable data-driven decision-making across private markets. Your work will contribute directly to BlackRock’s strategy of delivering integrated public and private market solutions.
Your role and impact
We are looking for a data-savvy software engineer to help build scalable, production-grade systems that support the research, experimentation, and development of innovative private markets data products. As a Vice President, you will operate in a player-coach model, combining hands-on technical leadership with people management responsibilities. You will partner closely with product, analytics, and business stakeholders to translate strategic priorities into robust technical solutions and delivery plans while setting a high bar for engineering excellence, reliability, and operational maturity. Your work will enhance transparency, operational efficiency, and data-driven decision-making for institutional investors and private markets clients, helping position BlackRock as a leading technology and data provider in private markets.
Key responsibilities:
Architect, build, and own scalable software solutions end-to-end, translating business objectives into technical designs through implementation, deployment, and production support.
Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities.
Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering effort with business impact.
Act as a technical authority within the wider team, elevating engineering standards and driving best practices in data management, governance, and cloud-native development.
Engage senior stakeholders, clearly communicating complex technical trade-offs and recommendations in business-relevant terms.
Collaborate cross-functionally with engineers, data scientists, analysts, and product leaders to deliver high-impact solutions for institutional investors and private markets clients.
Lead, coach, and develop software engineers, combining hands-on technical contribution with people management to foster a high performing, inclusive, and continuously improving engineering culture.
What we are looking for:
Demonstrated ability to design, build, and operate scalable production-grade software systems for data processing, including expertise in Python, SQL, and modern data platforms.
Hands-on experience with modern software engineering practices and tooling, including version control, CI/CD, automated testing frameworks, containerisation, and AI-augmented software development workflows.
Experience working in cloud environments such as Amazon Web Services (AWS) or Microsoft Azure, including infrastructure provisioning and automation using Infrastructure as Code.
Strong understanding of data validation, testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery.
Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation, evaluation, and technical decision-making.
Excellent collaboration, communication, and stakeholder management skills, with the ability to influence across engineering, product, data science, and business teams.
A proactive, curious, and resilient mindset, with a demonstrated ability to navigate ambiguity, explore new technologies, and continuously improve systems and ways of working.
Experience leading, mentoring, and developing software engineers while maintaining hands-on technical credibility.
Desirable skills include:
Experience working with financial market data, investment analytics, or private markets datasets.
Experience designing and building software and/or data platforms in financial services environments or other regulated environments.
Experience productionising statistical or quantitative models.
Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation, serving and deployment pipelines.
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; 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.
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.
Skills Required
- Design, build, and operate scalable production-grade software systems for data processing
- Expertise in Python
- Expertise in SQL
- Experience with modern data platforms
- Hands-on experience with version control, CI/CD, and automated testing frameworks
- Experience with containerisation
- Experience working in cloud environments (AWS or Microsoft Azure)
- Infrastructure provisioning and automation using Infrastructure as Code
- Strong understanding of data validation, testing strategies, and code quality practices
- Experience supporting advanced analytics and AI/ML use cases (experimentation, evaluation, deployment)
- Excellent collaboration, communication, and stakeholder management skills
- Experience leading, mentoring, and developing software engineers while remaining hands-on
- Experience with financial market data, investment analytics, or private markets datasets
- Experience designing and building software/data platforms in regulated or financial services environments
- Experience productionising statistical or quantitative models and managing AI/ML lifecycle (model versioning, experiment tracking, serving and deployment pipelines)
BlackRock Compensation & Benefits Highlights
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Retirement Support — A 401(k)/Retirement Savings Plan with a stated company match formula (subject to plan caps) alongside an Employee Stock Purchase Plan is prominently featured. Feedback suggests these elements make the financial-wellness offering a notable strength among large employers.
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Parental & Family Support — Paid parental leave of at least 16 weeks for primary caregivers, plus adoption support, fertility benefits, and child/elder back‑up care, is highlighted across materials. Offerings are substantial, with specifics varying by location.
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Leave & Time Off Breadth — Flexible Time Off for many U.S. salaried roles, paired with sick and bereavement leave, provides generous time‑away options. Wellness resources such as free access to Calm and an Employee Assistance Program further support rest and recovery.
BlackRock Insights
What We Do
As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com
Why Work With Us
Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.
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Employees engage in a combination of remote and on-site work.
BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.
