{"id":1275989,"url":"https://alion.io/job/nubank-data-analytics-regulatory-solutions","title":"Data Analytics - Regulatory Solutions","company":{"id":13935,"name":"Nubank","domain":"nubank.com.br","url":"https://alion.io/company/nu-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T20:29:12Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T16:12:00Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Nu\nNu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.\nProprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.\nVisit ourInstitutional Page\nRegulatory Solutions Analytics at Nubank\nAs a company at the forefront of the financial revolution in Latin America, Nubank has grown exponentially since its inception - and keeping that growth healthy and people-centered depends on making critical, data-informed decisions every day. Regulatory Solutions Analytics is at the heart of that process: our analysts work across teams to structure and analyze data, challenge assumptions, and translate findings into real improvements for our customers.\nYou bring the depth, autonomy, and technical fluency to lead that work on the most demanding problems - and to raise the bar for the analysts around you. We’re looking for people who are curious, proactive, and energized by solving complex problems: not necessarily those with all the answers, but those who know how to find them.\nAbout the Role\nThis role sits in Pack Analytics within Regulatory Solutions (Ops Defense). You’ll turn the analytical demands of our regulatory processes - KYC, AML, Judicial Orders, and others - into advanced analytics, models, and AI-powered solutions, while keeping the highest standard of quality for customer data and due diligence, in line with regulators and internal policies.\nYou will operate with growing autonomy: you solve well-defined problems independently and take on harder, more ambiguous challenges with the support of your team and manager, beginning to build deep expertise in your domain. Above all, you are excellent with data and genuinely passionate about artificial intelligence, proactively keeping yourself at the frontier of what these tools can do.\nAs a Sr Analyst in Regulatory Solutions Analytics, you’re expected to\nLead investigative, data-first work end to end: decide which data makes the most sense in each situation and, when it isn’t there yet, design the right tests or approaches to generate it.\n\nOwn advanced data analysis - run root-cause analysis, formulate and test hypotheses, and deliver effective solutions to challenging (though typically well-defined) problems with limited supervision.\n\nApply data science and statistical methods (e.g., anomaly detection, classification, segmentation, forecasting) to strengthen, scale, and automate regulatory decisions.\n\nUse artificial intelligence as a core tool: leverage GenAI/LLMs and modern AI tooling to accelerate analysis, prototype solutions, and automate manual work - and proactively stay at the frontier of AI, bringing new techniques back to the team.\n\nWork with large volumes of data using SQL, Python, and Scala - writing optimized queries and code to build a solid foundation for decision-making, knowing that not all answers live in the data, and that’s okay.\n\nBuild dashboards and visualizations (e.g., QuickSight, BigQuery) that go beyond the descriptive, surfacing trends, deviations, and forward-looking signals across historical and future horizons.\n\nApply solid, practical knowledge of data architecture and modeling (Data Mart, Data Lake, Data Warehouse) for analytical purposes, and manage dataset dependencies.\n\nUnderstand our products and how they interact with other areas of the business, translating business, legal, and customer needs into quantitative metrics (KPIs, OKRs).\n\nSupport data-based decisions across your team, making calculated risk-taking comfortable despite uncertainty while keeping project flow.\n\nApply data governance fundamentals - data classification, secure access to PII, lineage, quality monitoring, and cost optimization.\n\nLearn continuously and share knowledge generously, beginning to act as a reference in your area.\n\nWhat we’re looking for\nStrong analytical capacity: comfort with numbers and calculations, and the ability to solve problems methodically.\n\nExcellent with data - advanced data analysis and/or data science - with the appetite to go deep on large, ambiguous transactional datasets.\n\nHands-on fluency with SQL and at least one general-purpose language (Python and/or Scala).\n\nA real passion for artificial intelligence and machine learning, with a proactive habit of keeping up to date and applying new tools to real problems.\n\nBusiness basics: understanding the dynamics between risks and opportunities, and how business and technical areas (product/engineering) interact.\n\nProblem solving: creativity and practicality in tackling day-to-day challenges, with awareness of how your work impacts our customers’ experience and aligns with our purpose.\n\nProactive, autonomous, and curious - comfortable solving well-defined problems on your own and escalating the harder, ambiguous ones at the right time.\n\nClear, succinct, and effective communication in English and Spanish.\n\nOpenness to feedback and adaptability to a multifunctional, fast-changing environment.\n\nIt will be a differential if you…\nHave data engineering experience - building and maintaining data pipelines, working with massive parallel processing (e.g., Spark / MPP), and using lineage and orchestration tools. (Data engineering is a strong plus.)\n\nHold a degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics, Finance, or Physics) with a solid statistical modeling and analysis background.\n\nHave hands-on experience taking machine learning or AI / GenAI solutions to production.\n\nAre familiar with “Know Your Customer” and AML / regulatory topics, applicable not only for Mexico but also for Brazil and other Latin American countries.\n\nLocation for this opportunity\nMexico City, Mexico\nBenefits\nHealth and life insurance\n\nFood card\n\n15 days of paid vacation with 25% vacation bonus\n\nHoliday Bonus (“Aguinaldo”) of 30 days of pay per year\n\nNuCare - our mental health and wellness assistance program\n\nNuLanguage - our language learning program\n\nExtended maternity and paternity leaves\n\nEquity at Nubank\n\nWork Model for this Role\nThis role is based full-time, on-site, at our Mexico City office.\nExplore how we build technology at Nubank\nbuilding.nubank.com.br\nyoutube.com/@building.nubank\nListen to our stories on Spotify\nOur 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.\nTo maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here","description_format":"text","description_chars":6947,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"Upper-Intermediate (B2)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-26T01:37:13Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":39,"reasons":["conf:9","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nubank-data-analytics-regulatory-solutions","json_url":"https://alion.io/job/nubank-data-analytics-regulatory-solutions.json","meta":{"generated_at":"2026-10-01T21:48:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}