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As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
Build Proactive Intelligence Systems
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
Architect systems that shift analytics from "answering questions" to "anticipating needs"
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
Develop natural language interfaces that let business leaders query data conversationally
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
Design data models that support automated analysis, pattern detection, and AI agent interactions
Build workflows that connect insight generation to recommended actions
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
Identify high-value opportunities where AI can augment human decision-making
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
Measure impact rigorously—we care about decisions influenced, not dashboards built
Technical Foundation
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
Strong Python proficiency for data engineering, automation, and AI agent development
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
Hands-on experience building and deploying AI agents or LLM-powered applications in production
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
Experience architecting semantic layers or natural language interfaces for data access
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
Strong analytical intuition—you know what questions matter before they're asked
Experience translating ambiguous, cross-functional business problems into technical solutions
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
Experience mentoring other analysts or engineers, formally or informally
Demonstrated ability to influence senior stakeholders and drive alignment across teams
Comfort operating in ambiguity and shaping strategy, not just responding to it
Track record of building systems and processes that scale beyond yourself
Builder Mindset
You ship products, not just dashboards
You'd rather build something useful in a week than something perfect in a quarter
You measure success by business impact, not technical complexity
You're energized by creating leverage—building once so others benefit forever
Experience in real estate, fintech, or marketplace businesses
Background in marketing analytics, sales operations, product analytics, or pricing/economics
History of building tools or platforms that replaced recurring analyst work
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Project Overview
This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.
The Role:
We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.
Key Responsibilities
What You’ll Bring:
Core Skills:
Domain-Specific Knowledge (Highly Beneficial):
Technical Environment Familiarity (Helpful):
Soft Skills
Education
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Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuantAbout Nubank
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the role
AI is core to how Nubank builds products — and securing it is one of the most critical and forward-looking challenges in the company. The AI Security team, part of Nubank's Information Technology & Security area, is responsible for ensuring that AI systems are developed and operated safely and securely at scale, across LLM-powered applications, autonomous agents, and the infrastructure that supports them.
As Lead Security Engineer (AI), you will own and drive Nubank's defensive security strategy for AI products and internal tools. You will define frameworks, set technical direction, build runtime protections, and enable engineering teams across the company to ship AI systems securely by default. This role sits at the intersection of cutting-edge AI and high-stakes security — and your work will directly shape how one of the world's largest fintechs builds trustworthy AI at scale.
You'll be Responsible For
We Are Looking for a Person Who Has
Location
Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Location-Specific Disclosures
Ready to apply?
Apply to Nubank
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