Quantitative Specialist - Portfolio Solutions, Nu Asset
Nubank · São Paulo
About this role
ABOUT NU Nu is the leading digital bank in Latin America, 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 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 t
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