Extend

πŸ‘₯ 51-100πŸ’° $40,000,000 Series B almost 4 years agoMobile PaymentsCredit CardsPaymentsFinTechSoftwareπŸ’Ό Private Company
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Extend revolutionizes business payments with its innovative digital card platform. We empower companies to leverage the full potential of virtual cards, streamlining payment processes and enhancing financial control. Our suite of aggregated virtual card APIs, a user-friendly corporate card app, and a cutting-edge card tokenization service provide a comprehensive solution for businesses of all sizes. We're a leading FinTech company with a strong presence in the payments industry, backed by significant venture capital and consistently exceeding growth targets. Our technology stack incorporates modern tools and practices, including Cloudflare hosting, ensuring reliability and security. We prioritize a collaborative engineering culture that fosters innovation and efficient development. Our team works remotely and flexibly, leveraging various technologies to stay connected and productive. Extend's dedication to customer service and technological advancement has resulted in multiple partnerships with major financial institutions and recognition within the FinTech industry. We're a fast-growing company of 51-100 employees located in New York, committed to providing employees with competitive salaries, comprehensive benefits, and opportunities for professional development. Our culture values collaboration, innovation, and a positive work-life balance. Join us as we continue to shape the future of business payments. Extend's success stems from a commitment to innovation, reliability, and a focus on providing best-in-class digital payment solutions. We value employees who are driven, collaborative, and strive to excel in a fast-paced environment. We're confident that our cutting-edge technology, strong industry partnerships and dynamic growth trajectory will offer you a rewarding and challenging career.

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πŸ”₯ Data Scientist
Posted 15 days ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 100000.0 - 120000.0 USD per year

πŸ” Software Development

  • Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact.
  • Advanced degree in data science, analytics, economics, statistics or similar quantitative field
  • Strong knowledge of SQL, structuring data and ability to effectively query multiple tables of different grains with use of subqueries and window functions
  • Expertise with Python and Github
  • Practical and theoretical knowledge of A/B testing a plus
  • Strong written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
  • Lead the development and implementation of innovative pricing strategies to maximize revenue generation and enhance client acquisition.
  • Act as internal consultant, liaising with internal stakeholders such as Revenue, Programs, and Servicing teams to define and execute on data-driven strategy on existing and future products.
  • Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis.
  • Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.

PythonSQLData AnalysisGitMachine LearningAlgorithmsData scienceData StructuresPandasCommunication SkillsAnalytical SkillsRESTful APIsData visualizationData modelingData analyticsA/B testing

Posted 15 days ago
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πŸ“ USA

🧭 Full-Time

πŸ’Έ 135000.0 USD per year

  • 2-4 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on operational data systems.
  • Strong SQL skills and hands-on experience with Snowflake and DBT.
  • Proficiency with API interaction and tools like Thunderclient or Postman.
  • Familiarity with reconciliation, financial audit preparation, and cross-system data integrity best practices.
  • Excellent communication skills and a collaborative approach to working across technical and non-technical teams.
  • Strong problem-solving mindset and the ability to proactively identify and address data inconsistencies.
  • Own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
  • Build and maintain data pipelines using Snowflake and DBT to support reliable and auditable operations.
  • Collaborate closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
  • Ensure data integrity across systems and assist with internal and external audits through well-documented, traceable data practices.
  • Enhance and support integrations with Service Providers and Merchants to improve timeliness and accuracy of claim expense reporting and payments.
  • Utilize tools like Thunderclient and other API clients to interface with production systems when necessary.
  • Identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual interventions.
  • Help extend and evolve our data quality standards and operational analytics practices.

SQLETLSnowflakeAPI testingData engineeringREST APIAccountingJSONData visualizationData modelingData analytics

Posted 29 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 135000.0 - 165000.0 USD per year

πŸ” E-commerce

  • 3+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
  • Prior experience in a startup or high-growth environment is preferred
  • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field
  • Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling
  • Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.)
  • Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes
  • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
  • Empathetic, humble, and collaborative team player
  • Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
  • Design and implement rules engines, heuristics, and machine learning models to automatically detect and prevent fraudulent activity
  • Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses
  • Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants
  • Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
  • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
  • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

PythonSQLData AnalysisMachine LearningNumpyData sciencePandas

Posted about 1 month ago
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