Senior Analytics Engineer – Finance

🔥 8 hours ago

🌐 Brazil, Peru, +5 more countries – Remote

🇧🇷 Brazil – Remote 🇵🇪 Peru – Remote 🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote 🇨🇦 Canada – Remote 🇲🇽 Mexico – Remote 🇨🇱 Chile – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• Build trusted financial data products for Kraken’s Finance Data Engineering & Analytics team • Use automation and AI-assisted tools to reduce manual work and improve the financial close process • Partner with Finance to understand workflows, identify pain points and translate business needs into data and automation solutions • Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups • Implement controls, monitoring and exception handling • Build dashboards and visualizations for performance analysis, issue investigation and decision-making • Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering • Address root causes and communicate progress • Build scalable pipelines to collect, transform and curate data from internal platforms and external systems • Support the design and rollout of a trusted finance data lake with definitions, ownership and quality checks • Improve data timeliness and enable near-real-time insights where valuable • Evaluate technologies, including AI-assisted automation, and prototype production-supportable solutions

🎯 Requirements

• 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams • Strong SQL and Python skills, including writing, debugging and maintaining production code • Solid experience with Git, merge requests, and code reviews • Strong software engineering practices, including testing and documentation • Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools • Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close • Experience investigating discrepancies and validating outputs with accounting stakeholders • Track record of owning pipelines end to end and improving reliability as requirements and systems evolve • Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes • Experience supporting recurring financial close activities • Excellent communication skills and ability to collaborate across Engineering and Finance • Nice to have: experience with cryptocurrency transaction data and digital-asset activity in financial records and reconciliations • Nice to have: experience processing large volumes of financial transactions using Spark or PySpark

🏖️ Benefits

• Opportunity to work remotely • Opportunity to work with a global team • Job-related skills or work-style assessments as part of the hiring process • Equal opportunity employment • Kraken product dogfooding access/expectation after joining