量化专员 — 组合解决方案，Nu Asset
Quantitative Specialist — Portfolio Solutions, Nu Asset
关于Nu
Nu是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的1.4亿客户提供服务。公司通过利用数据和专有技术开发创新产品和服务，引领行业变革。
秉承着对抗复杂性并赋能人们的使命，Nu为客户提供完整的金融旅程，通过负责任的贷款和透明度促进金融包容性和进步。公司由一个高效且可扩展的商业模式驱动，结合低成本的服务与不断增长的回报。
Nu的影响获得了多项奖项的认可，包括《时代》100家最具影响力公司、《快公司》最具创新力公司以及福布斯全球最佳银行。
访问我们的机构页面 https://www.nu.com/2026-en
关于团队
投资组合解决方案是Nu资产管理部的一个团队，负责公司的ETF和系统型基金，以及我们产品和更广泛的Nubank生态系统背后的配置模型。我们认为投资者长期回报主要取决于三件事：成本、配置和纪律。我们的工作是在规模上实现这三者——这意味着我们将基础设施、自动化和AI工具视为投资研究的核心，而不是附属项目。
我们正在寻找一名量化分析师来加强我们的研究、指数构建、配置建模以及将所有内容联系在一起的平台。
你将负责
- 在固定收益、股票和衍生品领域进行指数和系统策略的研究、设计和实施——包括如备兑看涨期权、久期杠铃和因子组合等结构
- 构建和维护多资产配置模型，注重高效复制、跟踪误差控制和交易成本
- 进行严格的回测：不使用前瞻性数据，不考虑幸存者偏差，考虑实际成本。我们在没有样本外复制的情况下不会发布曲线
- 帮助构建团队的量化基础设施：可重用的数据管道、回测框架、监控仪表盘和Databricks上的报告流程。目标是每个你构建的模型都能超越其诞生的项目
- 开发用于投资研究的AI工具：在我们内部数据集上运行的LLM驱动的分析师、执行常规分析任务的代理、缩短团队中问题与答案之间距离的副驾驶工具
- 支持新ETF的发布——从指数方法到内部系统集成
查看英文原文
ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 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 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/
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.