Algo Engineer (GenAI Focus), Liability Driven Investment (LDI), Associate
About this role
About the team
The Fixed Income Solutions (FIS) business at BlackRock sits within the Portfolio Management Group (PMG) and operates globally across London, New York, Atlanta, San Francisco, Gurgaon and Mumbai. FIS partners closely with clients to design, implement, and manage outcome-oriented investment solutions.
The Liability Driven Investment (LDI) business is a distinct part of FIS which leverages the breadth and depth of the entire platform when delivering investment solutions for our clients. BlackRock has been managing LDI mandates for over 20 years. We are passionate about designing and implementing fixed income solutions to help, primarily, pension fund clients to meet their long-term investment objectives. Our day to day activities range from monitoring the markets, modelling solutions and formulating the investment proposition, to trade construction, to designing the operational structure of the mandate and working with multiple BlackRock teams to implement it.
LDI Technology is a dedicated technology team embedded within the LDI business. The team's mandate is to materially improve LDI investment and client workflows by building high-quality, scalable, and well-governed technology solutions.
Role overview
We are seeking an Associate level technologist to join the LDI Technology team.
This role is focused on designing, building, and maintaining Python-based technology used across the LDI business, with a significant proportion of time dedicated to Generative AI initiatives. The successful candidate will help identify GenAI opportunities, build prototypes, and develop production-ready solutions, including defining the data models and data strategy required to support them.
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The role is suited to a hands-on engineer who has a keen interest in working closely with the business, taking ownership of real problems, and applying engineering and AI techniques to investment workflows.
Key responsibilities
- Design, implement, and maintain Python-based platforms and tools supporting LDI investment and client workflows.
- Work end-to-end across the development lifecycle: requirements gathering, development, testing, deployment, and production support.
- Apply strong software engineering rigor, including version control, testing, documentation, and monitoring.
- Debug and resolve complex technical issues across applications, data, and infrastructure.
Generative AI and data strategy
- Identify, prototype, and implement Generative AI use cases across LDI investment, analytics, and operational workflows.
- Design and build the data models required to support GenAI-enabled tools, including defining how data should be structured and used.
- Source, obtain, curate, and store internal data, building and maintaining proprietary datasets to support analytics and GenAI applications.
- Progress successful GenAI experiments into robust, well-governed production solutions.
- Partner with internal technology and governance teams to ensure solutions meet BlackRock's control, security, and data standards.
Business partnership
- Develop a strong understanding of LDI investment processes and the data that underpins them.
- Work closely with investors and LDI colleagues to identify high impact technology opportunities.
- Support users in adopting new technology and integrating it into established workflows.
- Guide less experienced colleagues by collaborating closely, forming emerging approaches, and building out a common code library
- Partner with firmwide technology platforms, including Aladdin, to shape requirements, support testing, and integrate new capabilities into the LDI business.
Skills and experience required
Essential
- Quantitative or technical background (Bachelors in Computer Science, Engineering, Mathematics, or a related field).
- Strong Python experience, with the ability to build production-grade tools.
- Experience working across the full software development lifecycle.
- Hands-on experience with Generative AI and data strategy, including:
- Applying natural-language models to extract and manipulate information in a structured and repeatable way
- Building automated pipelines to ingest, store, and transform data for ongoing use
- Defining and owning the data models and data strategy required to support GenAI use cases.
- Integrating GenAI outputs into downstream analytics or investment workflows in a robust and scalable way.
- Strong problem-solving skills with a structured, process-oriented mindset.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, business-embedded technology team.
Beneficial
- Knowledge of Finance, or Fixed Income markets in particular
- Familiarity with BlackRock platforms such as Aladdin.
- Experience with analytics, optimisation, or portfolio-related tooling.
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.
Perks and Benefits
Health and Wellness
- Life Insurance
- Mental Health Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA
- Fitness Subsidies
Parental Benefits
- Family Support Resources
- Adoption Leave
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
Work Flexibility
- Hybrid Work Opportunities
- Flexible Work Hours
Office Life and Perks
- Casual Dress
- Commuter Benefits Program
- Holiday Events
Vacation and Time Off
- Unlimited Paid Time Off
- Volunteer Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Financial Counseling
- 401(K)
- Performance Bonus
Professional Development
- Promote From Within
- Mentor Program
- Access to Online Courses
- Internship Program
- Leadership Training Program
- Associate or Rotational Training Program
- Tuition Reimbursement
- Lunch and Learns
Diversity and Inclusion
- Founder led
- Employee Resource Groups (ERG)
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