Description
About this role
The Data Analytics & Automation (DAA) team aims to create and implement data analytics and automation solutions that improve operational efficiency & Risk Management and drive commercial success. The team uses its coding skills and business knowledge along with its colleagues to reduce manual work, streamline processes, mitigate risks, and improve the client experience. The team also supports commercial and strategy teams by providing solutions that make insights accessible, enable effective data-driven decisions, and support the sales process. The team is not just a servicing back-end team, but a coding-driven business team that delivers value at a fast pace. The team's Artificial Intelligence (AI) workstream and solutions have recently gained global attention and will continue to propose down-to-earth AI solutions that bring real value to the firm.
The team mostly works with sales, marketing, product, operations, and investment teams in America but also collaborates with colleagues in Europe and Asia. The team belongs to Global Accounting and Product Services (GAAPS), one of the critical functions within the Technology & Operations group at BlackRock responsible for supporting BlackRock's worldwide operations across all asset classes and geographies. Although the team codes, develops models, and creates tools, it is not a traditional Aladdin Engineering team.
Role and impact:
We are looking for an individual who is driven and curious, with a coding background or education in the finance industry. As part of the DAA team, you will work with business and technology partners to develop and deliver data analytics and automation solutions. The role will involve writing clean, scalable, and sophisticated code in languages (such as Python, SQL, and VBA) and producing insightful business intelligence (such as reports in Tableau or Power BI dashboards). Knowledge of AI/ML concepts and professional experience preferred.
Role Responsibilities:
- Build scalable data pipelines by writing Python or VBA code to load data into databases that can handle large amounts of data.
- Create, run, support, and modify various automated workflows that help business partners.
- Craft SQL queries to optimally analyze and manage data in servers.
- Document automations thoroughly and use distributed version control system (Azure DevOps) to ensure business continuity
- Develop and maintain Tableau or Power BI dashboards that are informative, clear, and attractive
- Provide innovative solutions and tools for complex problems that can be used by non-technical users
- Use various AI techniques such as Machine Learning (ML), Natural Language Processing (NLP), and LLMs (Large Language Models) to improve processes
- Develop and fine-tune predictive, classification, and regression models
- Create an ensemble of AI services (Azure, AWS, Google Cloud) that quickly solves a need of problem
- Optimize LLM (Large Language Models) prompts and context to improve quality of responses
- Contribute to the continuous improvement of the DAA team's processes and methods.
- Collaborate, assist and respect others, and keep improving our skills.
- Stay ahead of with the latest trends and best practices in Artificial Intelligence, data analytics and automation.
Skills/Qualifications:
- 2+ years of experience in data analysis and data visualization skills are required
- Relevant experience in natural language processing and data science skills are desirable
- A bachelor's degree in business, Finance, Economics, Computer Science, Actuarial Science, or related fields
- Bilingual in English and Spanish, with written and oral fluency.
- Exceptional verbal and written communication skills in both English and Spanish. Portuguese is a plus.
- Programming skills in Python, SQL (with knowledge of views and stored procedures), and VBA.
- Knowledge of Azure, AWS or Google Cloud services and tools.
- Creative and resourceful problem-solving skills, with the ability to generate innovative solutions.
- Organized and meticulous, with the ability to handle multiple tasks at once.
- Excellent communication skills and able to convey information clearly and concisely to technical and non-technical audiences.
- Strong analytical skills and attention to detail.
- Self-driven, proactive, and committed to achieving objectives.
EarlyCareers
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 flexibil