About Nu

Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.

Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.

Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Visit our institutional page: https://www.nu.com/2026-en

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 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 team

Portfolio Solutions is the team within Nu Asset Management responsible for the firm's ETFs and systematic fundos, and the allocation models behind our products and the broader Nubank ecosystem. We believe most of an investor's long-term return comes down to three things: cost, allocation, and discipline. Our job is to deliver all three at scale — which means we treat infrastructure, automation, and AI tooling as core to investment research, not as side projects.

We're looking for a quantitative analyst to strengthen our research, index construction, allocation modeling, and the platform that ties it all together.

What you'll do

Research, design, and implement indices and systematic strategies across fixed income, equities, and derivatives — including structures such as covered calls, duration barbells, and factor portfolios
Build and maintain multi-asset allocation models, with attention to efficient replication, tracking error control, and transaction costs
Run rigorous backtests: no look-ahead, no survivorship, realistic costs. We don't publish a curve without out-of-sample replication
Help build the quantitative infrastructure of the team: reusable data pipelines, backtest frameworks, monitoring dashboards, and reporting workflows on Databricks. The goal is that every model you build outlives the project it was born in
Develop AI-powered tools for investment research: LLM-driven analysts on top of our internal datasets, agents for routine analytical tasks, copilots that compress the distance between question and answer for the whole team
Support the launch of new ETFs — from index methodology to interactions with index prodviders, market makers, administrators, and custodians
Read papers, replicate results, and tell apart what works from what looks like it works

What we're looking for

Bachelor's degree in a quantitative field: engineering, math, physics, statistics, economics, computer science, quantitative finance, or equivalent
3+ years in quantitative research, systematic asset management, risk, or adjacent roles
Strong Python (pandas, numpy, scipy). Comfort writing code that other people will read, run, and extend
Curiosity about — and ideally experience with — building production-grade analytical infrastructure: pipelines, jobs, dashboards, internal tools
Genuine interest in applying LLMs and AI agents to quantitative work, not just as users but as builders
Familiarity with the Brazilian market: NTN-B, IMA, Ibovespa, B3 derivatives, local ETF dynamics
A collaborative, constructive way of working: you ask for help when stuck, you offer help when others are, you document, you review code, you disagree clearly without making it personal, and you give credit generously
Ability to communicate quantitative results clearly — to portfolio managers, commercial teams, and ultimately to the end investor

Nice to have

CFA, CAIA, FRM, or a graduate degree in a quantitative field
Experience with ETFs, index replication, or benchmark construction
Hands-on Databricks (Workflows, Delta, Unity Catalog, Databricks Apps), version control discipline, MLOps fundamentals
Experience designing or shipping internal tools, copilots, or RAG systems

Benefits

Chance of earning equity at Nubank
Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
Public Transportation Commuting Benefit (Vale-Transporte)
NuCare – Psychological, Financial and Legal Assistance Program
Life Insurance
Medical Plan
Dental Plan
NuLanguage – Language Course Program
Nucleo - Our learning platform of courses
Extended Parental Leave
Daycare Allowance
Parental Consultancy
Work-from-home Allowance
Gym Partnerships
30 days of paid vacation
Relocation Assistance Package, if applicable

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/

By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice.

Nubank Candidate Privacy Notice (English / Portuguese / Spanish).

Quantitative Specialist — Portfolio Solutions, Nu Asset