SentiLink

đź‘Ą 11-50đź’° $70,000,000 Series B over 3 years agoFraud DetectionInformation TechnologyCyber SecurityIdentity ManagementNetwork Securityđź’Ľ Private Company
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SentiLink is a company that is currently hiring for a Senior Software Engineer and an Accounting Supervisor for remote work in India, indicating a focus on software development and financial operations.

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đź“Ť United States

đź’¸ 140000.0 - 180000.0 USD per year

🔍 Identity verification, Financial Services

  • Attention to detail, self-starter, data-driven mindset, clear communication style, and positive attitude.
  • 7+ years of experience in revenue-driving role, with at least 2 years in enterprise SaaS.
  • Experience in owning GTM tech stack, particularly with Salesforce. Salesloft and Apollo experience are a plus.
  • Experience in Financial Services and/or Fraud Prevention industries is a major plus.
  • Candidates must be legally authorized to work in the United States and must live in the United States.

  • Assist in revenue planning, goal-setting, and analytics including ARR forecasting and pipeline analysis.
  • Implement and manage a GTM technology stack supporting current and scalable future business.
  • Optimize sales compensation plan and administer calculations, reporting, and payments.
  • Enhance deal desk workflows for efficient pricing and quote tracking.
  • Serve as a partner to stakeholders in Sales, Marketing, Legal, Finance, and others.

Data AnalysisSalesforce

Posted 13 days ago
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đź“Ť United States

🧭 Full-Time

đź’¸ 110000.0 - 140000.0 USD per year

🔍 Identity verification and risk solutions

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Proven experience in data analysis, modeling, and performance evaluation.
  • Strong proficiency in data tools and languages such as Python, R, SQL, and data visualization libraries (e.g., Tableau, matplotlib).
  • Ability to interpret and communicate complex data insights to both technical and business audiences.
  • Exceptional problem-solving and analytical skills with a focus on actionable results.
  • Interest in developing deep domain expertise for product-focused work.
  • Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.

  • Conduct comprehensive data evaluations for prospective partners, demonstrating SentiLink's product value through clear data science metrics.
  • Analyze performance data from current partners to ensure optimal product use and provide actionable recommendations.
  • Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to enhance product performance and address partner-specific needs.
  • Deliver ad hoc analyses and reports that provide deep insights into fraud trends, consumer behavior, and partner-specific challenges.
  • Communicate complex data findings effectively through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.

PostgreSQLPythonSQLData AnalysisData visualization

Posted 24 days ago
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🔥 Model Risk Analyst
Posted about 2 months ago

đź“Ť United States

đź’¸ 110000 - 140000 USD per year

🔍 Identity verification and risk management

  • Bachelor’s degree in a quantitative discipline, such as Economics, Math, Computer Science, Data Science, etc.
  • Minimum of 3 years of experience in quantitative analytics, model development, model validation, or model risk management.
  • Familiarity with models in financial markets, including credit risk, fraud, market risk, and AI/ML models, along with Python or R.
  • Ability to build strong relationships and influence stakeholders in both technical and non-technical areas.
  • Excellent written and oral communication skills for explaining complex concepts.
  • Familiarity with industry regulations and regulatory frameworks related to model risk management, such as SR 11-7.
  • Capability to thrive in a fast-paced environment with strong project management skills.

  • Assist with regular model risk tracking and reporting, including remediation.
  • Act as the main representative in partner model risk assessments.
  • Promote and optimize the company-wide Model Risk Management framework.
  • Collaborate with model owners to manage risks.
  • Prepare validation reports for management and partners.
  • Stay updated on model risk management approaches and regulations.

Project ManagementPythonData scienceCommunication SkillsRelationship building

Posted about 2 months ago
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đź“Ť United States

🧭 Full-Time

đź’¸ 220000 - 260000 USD per year

🔍 Identity verification, fintech

  • 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters.
  • Proven track record of solving complex business problems using DS/ML solutions.
  • Experience communicating outcomes and progress to senior management and stakeholders.
  • Strong in end-to-end data science development from planning to delivery.
  • Practical knowledge of ML and statistical tools; familiarity with SOTA ML solutions is a plus.
  • Interest in developing deep domain expertise with a willingness to learn about fraud.
  • Experience writing production code and conducting tests.
  • Detail-oriented with the ability to make impactful business decisions.
  • Thrive in a fast-paced environment solving varied, high-impact problems.
  • Bonus: familiarity with identity solutions, fintech, or adjacent industries.

  • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
  • Research new types of fraud and develop SentiLink products around identity verification.
  • Build foundational modeling to enhance the suite of Fraud and Financial Risk products.
  • Conduct iterative research and inventively engineer features.
  • Write reliable production-ready code for real-time decision making.
  • Design, perform, and present analyses to inform various operational priorities.
  • Collaborate with teams for data access and maintain data quality.

AWSPostgreSQLPythonMachine LearningProduct DevelopmentStrategyData science

Posted 3 months ago
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đź“Ť United States

🧭 Full-Time

đź’¸ 180000 - 220000 USD per year

🔍 Fintech

  • 4+ years relevant work experience with a relevant PhD or 6+ years with a relevant Masters.
  • Proven track record of solving complex high-profile business problems with data science/machine learning solutions.
  • Experience in communicating outcomes to senior management/stakeholders.
  • Strong in end-to-end data science development: planning, metrics, solution delivery.
  • Strong practical knowledge in machine learning and statistics.
  • Experience writing production code and tests.
  • Detail-oriented and thoughtful approach to business decision-making.

  • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
  • Research new types of fraud and develop new SentiLink products around identity verification.
  • Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
  • Write production-ready code for real-time decision making.
  • Design, perform, and present analyses that will inform various company strategies and priorities.
  • Collaborate with other teams to maintain data quality and support data access.

AWSPostgreSQLPythonMachine LearningProduct DevelopmentStrategyData science

Posted 3 months ago
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đź“Ť United States

🧭 Full-Time

đź’¸ 170000.0 - 240000.0 USD per year

🔍 Identity verification

  • 8+ years of progressive FP&A experience, with at least 2 years at a high-growth SaaS or technology company.
  • 2+ years of investment banking or management consulting experience is strongly preferred.
  • High proficiency in Microsoft Excel, Google Sheets, and experience with BI tools such as Metabase, Tableau.
  • Proven track record of developing and implementing robust financial models.
  • Exceptional communication skills for distilling complex financial information.

  • Own the monthly, quarterly, and annual reports and presentations.
  • Conduct in-depth analyses and provide actionable recommendations to senior leadership.
  • Lead the annual budgeting process and monitor performance against budgets.
  • Develop financial models for scenario planning and resource allocation.
  • Collaborate with cross-functional teams for financial rigor.
  • Implement procedures to streamline reporting and analysis.
  • Build a data-driven culture providing real-time insights across the business.

LeadershipTableauCommunication SkillsMicrosoft Excel

Posted 3 months ago
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