Associate, AI Engineer / Mexico City, MX
BlackRock · Mexico City, Mexico ·
- Work mode
- Hybrid
- Category
- AI engineering
- Experience
- 4+ years
- Company size
- 1000+
BlackRock · Mexico City, Mexico ·
About this role
About BlackRock
Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, and tackling some of the world's most interesting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? Look no further!
At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual.
As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals! The firm manages approximately $14 trillion in assets on behalf of investors worldwide.
Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions.
BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
About Team:
Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the firm’s Platform Enablement organization. Platform Enablement is a horizontal capability focused on scaling execution, modernizing foundational platforms, and accelerating delivery across Business Operations and Client Services in close partnership with Aladdin Engineering.
TDO operates at the intersection of business process, technology, and delivery. We work directly with operational teams to identify workflow challenges, translate business needs into technical solutions, and build pragmatic tools and automations that improve scale, resilience, and efficiency across core operating platforms.
The role is part of the Technology & Development Operations team, and is responsible for designing, developing, and delivering technical solutions to the organization’s workflow challenges. The role requires a deep understanding of the functions within Business Operations and Client Services to better comprehend the challenges faced by these functions.
Key Responsibilities:
Design, develop, and deliver technical solutions, including AI-based models, that will help the organization scale.
Work with stakeholders to identify areas where technology can be leveraged to improve business processes.
Make autonomous decisions on which solutions best fit the business problem presented
Test and validate AI models to ensure that they are accurate and aligned with the organization’s strategic goals.
Play a key role in growing the core offering of the Aladdin Compliance and Accounting platforms
Drive engagement with partners to ensure that proper business requirements are established.
Build relationships with other internal technology teams to ensure familiarity with all potential AI-based solutions while also holding them accountable for capturing and measuring business benefits
Skills/Qualifications:
4+ years of experience in a Business Analyst or Developer role, exposure in developing and implementing AI-based solutions preferred.
Proficiency in programming languages (e.g., Java, Python) as well as strong SQL and database knowledge.
Understanding of machine learning models, including large language models (LLMs) and other neural networks.
Familiarity with NLP techniques and tools such as sentiment analysis, named entity recognition, and topic modeling.
Experience with cloud-based machine learning platforms such as Azure Machine Learning a plus.
Experience using Agile methodologies – previous experience working from a backlog, sprints, retrospectives etc.
Interest in the investment management industry and investment products
Familiarity with Robotic Process Automation (RPA), e.g., Blue Prism
Familiarity with data visualization tools, e.g., Splunk, Tableau, Power BI
Competencies:
The ability to manage projects from inception to completion, ensuring that they are delivered on time and within time estimates.
Identification of risk or gaps in a process and implementing plans to resolve using technical solutions
Excellent verbal and written communication skills (in English) to convey sophisticated concepts simply and clearly
A deep understanding of the organization’s business processes, goals, and objectives
Stay up-to-date with the latest developments in LLMs and machine learning, and identify opportunities to apply them to the organization’s business processes.
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.
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 race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.