Best Egg

Frontend Engineer

• Design, develop, and deliver high-quality software iteratively and incrementally.
• Take ownership of key components and features—from hands-on coding to deployment and monitoring.
• Contribute to frontend observability using tools like Datadog and Fullstory for error tracking, performance monitoring, and user session analysis.
• Participate in technical design discussions and contribute architectural insights, working with senior leaders to shape solutions.
• Ensure software follows modern engineering practices, including clean code, testing, automation, and modern frontend architecture patterns.
• Support continuous improvement in code quality, reliability, performance, and developer experience.
• Translate business requirements into clear technical tasks and help validate assumptions and approaches.

Lead Software Engineer II – Frontend

Platform Engineer

• Design, build, and deploy data platform components across Snowflake, AWS, and the broader technology stack.
• Architect, implement, and support data capabilities including automations, integrations, interfaces, and underlying infrastructure.
• Develop, maintain, and optimize CI/CD pipelines to ensure reliable and repeatable data delivery.
• Implement and manage monitoring, logging, and alerting frameworks to ensure the availability, quality, and performance of data assets.
• Serve as a data leader, data champion and subject‑matter expert for engineering, product, and business teams, providing mentorship and guidance to junior engineers.
• Collaborate with cross‑functional teams to identify, troubleshoot, and solve complex technical and data‑related challenges.
• Ensure adherence to security, privacy, and compliance standards, including SOC2 and PCI‑DSS.

Data Platform Engineer II

Full-stack Engineer

• Design, develop, and deliver high-quality software iteratively and incrementally.
• Own end-to-end implementation, deployment, and operational support for complex systems.
• Lead design discussions, create architecture diagrams, and drive sound technical decision-making.
• Conduct deep code reviews focused on correctness, maintainability, and long-term sustainability.
• Improve performance, reliability, and scalability of critical systems.
• Translate complex business needs into clear technical requirements and challenge assumptions where needed.

Senior Lead Software Engineer

Director

• Establish and maintain credit risk appetite, lending guardrails, and buy-box frameworks, including thresholds for approval rates, loss, concentration, and portfolio mix.
• Independently review, assess, and challenge all material credit strategy, policy, and model changes proposed by the First Line of Defense for conceptual soundness, empirical support, and alignment with risk appetite.
• Ensure compliance with internal policies, regulatory expectations, and model risk management standards.
• Independently analyze portfolio performance across products, segments, channels, and vintages, including early warning indicators, loss emergence, and tail risk.
• Conduct end-to-end credit risk assessments, incorporating underwriting, customer management, collections, and recovery outcomes.
• Monitor consumer behavior trends, macroeconomic indicators, and external risk signals to identify current and emerging credit risks.
• Partner with Finance and Analytics to review loss forecasts, stress scenarios, and capital/liquidity implications.
• Own the development, maintenance, and governance of recession, credit tightening, and liquidity playbooks.
• Define leading indicators, triggers, and thresholds that inform when credit tightening or risk mitigation actions are required.
• Regularly test and refresh stress scenarios to ensure portfolio resilience under adverse economic, consumer, or geopolitical conditions.
• Provide clear, actionable recommendations to senior leadership during periods of stress or uncertainty.
• Identify key areas of elevated or emerging risk and work collaboratively with the First Line of Defense to mitigate risk while preserving business objectives.
• Ensure material risks are appropriately documented, escalated, and tracked through remediation.
• Provide effective challenge while maintaining strong, constructive partnerships with product and credit leaders.
• Ensure group credit policies, standards, and risk governance frameworks are consistently applied across consumer lending products.
• Provide oversight of controls related to guardrails, underwriting standards, model usage, and strategic risk decisions.
• Support regulatory exams, internal audits, and model reviews related to credit risk.
• Prepare executive- and board-level materials summarizing portfolio health, key risks, and recommended actions.
• Act as a trusted senior advisor to executive leadership on credit risk matters.
• Build and lead a high-performing 2LOD credit risk team with strong analytical depth and sound judgment.
• Foster a culture of transparency, independence, and constructive challenge.
• Communicate complex credit risk topics clearly and credibly to non-technical stakeholders, including senior executives and board members.

Managing Director, Credit Risk – 2nd Line of Defense

Manager

• Manage the daily business workflow with the team and assist in creating efficiencies
• Scheduling and workforce management
• Recruitment and interviewing
• New hire and ongoing training
• Quality monitoring and coaching
• Account audits and root cause analysis
• Complaint handling and customer escalations
• Performance reviews and development

Back Office Team Manager

Data Analyst

• Support the execution and optimization of existing customer and remarketing retention marketing strategies through data analysis, reporting, measurement, and testing.
• Collaborate across Marketing, Risk, Product, and Data Science teams to enhance retention strategies while ensuring compliance and data quality.
• Analyze and optimize marketing campaigns across Email, SMS, Push, and Authenticated channels.
• Conduct audits of marketing data for accuracy, compliance, and consistency with credit policy.
• Develop, optimize, and maintain data and reporting solutions, including SQL tables, Power BI dashboards, and automated reporting views.
• Perform deep-dive analysis on large datasets to uncover insights that improve targeting, messaging, and channel performance.

Marketing Analytics Manager

Marketing

• Provide strategic analytics leadership in support of paid and organic digital acquisition channels, including website optimizations, search (SEM & SEO), social, display/programmatic, TV, and online video
• Play a key role in the implementation and application of the company’s marketing mix model (MMM)
• Deliver insights, measurement frameworks, and analytical rigor needed to shape optimization and investment decisions across channels
• Partner closely with Marketing, Web Analytics, Risk, Product, and Data Science to ensure marketing decisions are data-driven, scalable, and aligned with business and credit objectives

Senior Manager – Marketing Analytics

Compliance

• Assist in the development and execution of the Fair Lending Compliance Program by conducting scheduled reviews and analyses that monitor and/or test for potential fair lending risks and control deficiencies.
• Including core program components such as the annual Fair Lending risk assessment and risk & control reviews.
• Support regulatory change management activities as they relate to Fair Lending requirements.
• Evaluate new products and services for fair lending risk and compliance implications.
• Assist with exam management and audit activities related to Fair Lending.
• Provide day-to-day Fair Lending compliance support to business partners through research, interpretation of laws/regs, and guidance on emerging risks and industry trends.
• Identify and help mitigate actions that may expose the bank to Fair Lending risk outside its desired risk appetite.
• Lead/assist with monitoring activities that evaluate the effectiveness of controls and recommend enhancements to mature the control environment.
• Partner with lines of business (LOBs) while balancing the compliance oversight role to influence fair lending decisions and risk outcomes.
• Engage directly with LOBs to:
• o Identify Fair Lending risks and develop/execute risk assessments
• o Provide input on controls and testing activities
• o Advise and monitor remediation efforts when issues are identified.
• Independently and credibly challenge Fair Lending-related decisions, business processes, and risks.
• Proactively advise business partners on applicable compliance risk standards and stay current on developments in Fair Lending laws, rules, and industry practices.

Fair Lending Compliance Specialist

• Design, develop, and deliver high-quality software iteratively and incrementally.
• Take ownership of key components and services—from hands-on coding to deployment and monitoring.
• Participate in technical design discussions and contribute architectural insights, working with senior leaders to shape solutions.
• Ensure software follows modern engineering practices, including clean code, testing, automation, and cloud-native patterns.
• Support continuous improvement in code quality, reliability, performance, and developer experience.
• Translate business requirements into clear technical tasks and help validate assumptions and approaches.
• Build and enhance distributed, event-driven, and cloud-native solutions in AWS.
• Apply cloud best practices—security, cost awareness, performance, and operational efficiency—under guidance of senior engineers.
• Contribute to observability through metrics, logging, tracing, dashboards, and alerts.
• Assist in performance tuning, resiliency improvements, and troubleshooting production issues to ensure system stability.
• Mentor and support junior engineers through pairing, code reviews, and knowledge sharing.
• Collaborate effectively with Product, Architecture, InfoSec, and DevOps to deliver well-aligned solutions.
• Build strong working relationships within the engineering and product teams.

Lead Software Engineer

• Deliver internal copilots and customer/agent-facing automations with clear SLAs, rollbacks, and observability from day one.
• Design ingestion, chunking, embeddings, indexing, hybrid search/rerank, and retrieval evaluation; track retriever quality via offline golden sets and online metrics.
• Design and implement scalable AWS architectures, including AWS AI features such as Bedrock, IAM, knowledge bases, secure secrets and policy enforcement, automated provisioning, and resource-usage governance as core platform capabilities.
• Add tracing, prompt/agent version lineage, eval dashboards, and regression alerts; establish golden datasets and canary tests.
• Enforce PII redaction, safety filters, role-based access, audit logs, and human-in-the-loop review paths to control quality and risk.
• Version and deploy prompts, tools, agents, and retrieval pipelines; support blue/green and shadow deploys with automatic rollback triggers.
• Cut run-rate spend through caching, truncation, batching, autoscaling, and model routing; establish clear unit economics per workflow.
• Provide templates, SDKs, and high-quality abstractions that let product teams ship safely without bespoke plumbing; improve developer experience.
• Build primarily in Python and Metaflow (Outerbounds); deploy on AWS (Bedrock + core services) and OpenAI; use Cursor in daily workflows; help evaluate and, when appropriate, run on Databricks.
• Participate in on-call, author runbooks, and remove single-thread risk for AI services; drive reliability and resilience akin to ML Ops.

Lead Software Engineer II, AI Operations

• Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
• Improve, expand, and streamline our existing deployment pipelines to support faster deployments and automated model retraining.
• Collaborate with Data Scientists to understand model requirements and provide guidance to ensure seamless integration with production environments.
• Develop automations that empower data scientists to self-serve, remove manual steps from our processes, and streamline their training workflows.
• Build and maintain production-level inference environments, including low-latency real-time APIs and batch predictions, and monitor these environments to ensure uptime, resiliency, and latency SLAs are met.
• Work with modern CI/CD tools to deploy ML/AI models at scale in a production setting.
• Drive the deployment and optimization of custom AI and LLM models, supporting data scientists and AI engineers in fine-tuning, evaluating, and serving large language models for real-world use cases.
• Contribute to the infrastructure, pipelines, and monitoring needed for generative AI systems, including vector databases, prompt orchestration frameworks, and scalable inference services.
• Enjoy a great company culture rich in collaboration, teamwork, no politics, learning, and frequent wins.

Senior Software Engineer, ML Operations

Operations

• Manage daily operations across assigned functions, ensuring service levels, quality standards, and productivity targets are consistently met.
• Lead, coach, and develop the frontline loan service team, foster engagement, accountability, and performance excellence.
• Monitor key operational metrics, identify trends, and implement action plans to improve efficiency, quality, and customer experience.
• Partner with Strategy, Product, Technology, and Risk teams to implement process enhancements and operational initiatives.
• Ensure operational processes comply with regulatory requirements, internal policies, and control standards.
• Support workforce planning, scheduling, and capacity management to align resources with demand.
• Drive continuous improvement initiatives using data, root-cause analysis, and best practices.
• Provide cross-team support, including verbal and written coaching, to ensure alignment and coverage as applicable.
• Escalate risks, issues, and operational challenges with clear recommendations and solutions.
• Contribute to operational planning, meetings, reporting, and readiness for audits or regulatory reviews.
• Developing and presenting targeted business updates.

Operations Manager

Risk

• Monitor industry news, fraud forums, consortium data, and internal trends to identify new or evolving fraud threats.
• Support enterprise bot-management and act as the Fraud Operations liaison during bot-related incidents, proactively identifying risks, assisting with triage, validating impact, and coordinating rapid remediation steps.
• Assess and identify risks, including recommending mitigation plans to address impostor-related threats, such as fake websites, phishing emails, scams, and other social-engineering–based attacks.
• Evaluate, identify and make recommendations to mitigate emerging 1st-party fraud behaviors, including credit washing, dispute abuse, and intentional misrepresentation - to assess potential vulnerabilities within our products and processes.
• Conduct deep-dive investigations into specific fraud patterns or unusual activity.
• Summarize findings, prepare briefings, and provide recommendations to Operations leaders, Fraud Strategy and Information Security teams.
• Analyze fraud risk and support projects around detection gaps, operational processes and control performance to identify improvement opportunities.
• Help gather requirements and test new controls, which may include rule changes to ensure effective implementation.
• Research, analyze, and compare existing vendor capabilities and performance, identify insights, and make recommendations to improve fraud detection and prevention effectiveness.
• Assist in evaluating how emerging fraud patterns could impact current products or processes.
• Assist in creating analysis and business cases for investments in fraud-prevention tools, automation, and emerging technologies to support strategic decision-making.
• Contribute to documentation, playbooks, and communications related to fraud changes or enhancements.
• Build reports and dashboards that track fraud KPIs and control effectiveness.

Fraud Insights & Emerging Risks Analyst

• Lead day-to-day operations of internal servicing and collections teams to ensure high-quality customer interactions, effective loss mitigation, and strong compliance execution.
• Oversee domestic and nearshore strategic vendor relationships to ensure alignment with performance, quality, and regulatory standards.
• Partner with Workforce Management and Operations Strategy to optimize staffing, dialer strategies, and channel contact methodologies.
• Embed continuous process improvement practices to drive efficiency and scalability.
• Collaborate in the design and implementation of comprehensive collections strategies across all delinquency stages (early, mid, late, pre-charge-off) to optimize collections and cure rates.
• Drive the evolution of digital-first, omni-channel collections, including SMS, email, IVR, chat, self-service portals, and AI-powered engagement tools.
• Partner with product, credit risk, and technology teams to improve the servicing value proposition, optimize digital capabilities, and enhance flexible payment solutions.
• Monitor portfolio trends, economic indicators, customer behavior, and treatment performance to influence strategic adjustments.
• Use insights from data analysis to identify performance gaps, emerging risks, and opportunities for optimization.
• Deliver clear, actionable updates to executive leadership on portfolio trends and strategic recommendations.
• Ensure adherence to regulatory requirements (FDCPA, UDAAP, FCRA, TCPA) and internal policies by maintaining a strong first line of defense control environment.
• Partner closely with Compliance, Legal, and Risk teams to anticipate and address regulatory changes, audit findings, and operational risks.
• Implement and maintain operational controls, QA programs, and compliance monitoring frameworks across internal teams and vendors.
• Serve as a senior advisor to the COO and executive team on collections strategy, loss performance, market conditions, and consumer financial health.
• Influence broader operational strategy through insights related to customer behavior, insights, and lifecycle risk.
• Lead, mentor, and develop directors, managers, and operational professionals.
• Foster a culture of accountability, collaboration, continuous learning, and performance excellence.
• Maintain strong relationships with internal and external stakeholders, acting as a trusted subject matter expert in servicing, collections, and loss mitigation.

Senior Director of Servicing & Collection

Backend Engineer

• Design, develop, and deliver high-quality software iteratively and incrementally
• Take end-to-end ownership of systems—from architecture and hands-on coding to deployment, observability, and operational excellence
• Lead technical design discussions, create architectural diagrams, conduct design reviews, and guide the team toward sound engineering decisions
• Ensure solutions adhere to modern engineering standards including clean code principles, automation, testing, and cloud-native patterns
• Drive continuous improvement efforts across engineering practices, tooling, code quality, and system reliability
• Translate complex business needs into clear technical requirements and challenge assumptions when necessary