Design, develop, and maintain full-stack features using Node.js and React while managing relational database schemas. Collaborate with product, design, and operations teams to deliver scalable, secure, and high-performance financial software solutions.
Lead, coach, and grow a team of data engineers while defining the strategic roadmap for the data platform. Ensure the reliability, quality, and scalability of data pipelines while acting as a bridge between platform and product teams.
The Pricing Expert will lead the design, implementation, and evolution of pricing strategies for BNPL products to ensure profitability and competitiveness. This role involves cross-functional collaboration with finance, product, and data teams to build financial models and monitor portfolio performance.
The Engineering Lead will guide a squad on backend architectural decisions, best practices, and technical execution to ensure scalability and reliability. They will also collaborate cross-functionally with product and DevOps teams while mentoring backend developers to foster technical excellence.
Design, train, and validate machine learning models for core business use cases such as credit risk scoring, growth forecasting, and customer segmentation. Collaborate with cross-functional teams to translate complex business problems into rigorous quantitative solutions and ensure successful model deployment.
The Paid Media Specialist will have full ownership of performance marketing channels, including strategy, budget allocation, and campaign execution. They are responsible for driving business results by managing attribution, unit economics, and creative testing across multiple platforms.
The SOC Engineer is responsible for managing SIEM and SOAR platforms, configuring log ingestion, and designing correlation rules for threat detection. They also lead incident response efforts, develop playbooks, and collaborate with infrastructure teams to mitigate security risks.
Lead and motivate a team of recovery analysts to collect overdue payments from BNPL platform users. Monitor key performance indicators and prepare reports to optimize recovery processes and ensure regulatory compliance.
Develop probabilistic models to estimate customer lifetime value, transactional frequency, and conversion probability to maximize engagement and ROI. Implement propensity and churn models while measuring incremental impact through experimentation.
Design and operate a unified AI platform layer consisting of LLM and MCP gateways to manage external model providers. Focus on governance, cost control, security, and observability to ensure safe and efficient AI consumption across the company.
Integrate security into the entire software development lifecycle by designing secure pipelines and implementing SAST, SCA, and DAST tools. Collaborate with engineering teams to remediate vulnerabilities and conduct threat modeling for applications and services.
Implement and harden cloud infrastructure defenses to ensure data integrity, confidentiality, and availability through automation and security-by-design. Lead the end-to-end cloud vulnerability management process, including detection, triage, and remediation tracking.
Drive the maturity of the Information Security Management System (ISMS) and support the ISO/IEC 27001 certification process. This includes conducting risk assessments, designing security policies, and collaborating cross-functionally to embed security into business initiatives.
The role involves testing, attacking, and defending generative AI implementations through red teaming and penetration testing. It also requires designing defensive guardrails and establishing secure development standards for AI agents and LLMs.
The Data Engineering Lead will be responsible for leading technical execution, scaling data infrastructure, and ensuring operational excellence by building highly scalable and reliable data pipelines in collaboration with the data platform team. This role involves mentoring Data Engineers and Analytics Engineers while aligning technical execution with business needs to ensure data platform security, traceability, and performance.
