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Required Squad Lead
What Youll Do
As the Card Risk Lead, you will manage a mission-critical team central to the Credit Card, our flagship product, that is responsible for developing and implementing our core risk management strategies. Leading a dynamic team of backend engineers and AI/ML specialists, your contributions will directly impact our key performance indicators and overall success.
This position is both strategic and hands-on, involving the architecture and implementation of scalable systems that power the core financial risk of the Card product.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that detect and mitigate financial risks in real time.
Work closely with the business and senior leadership.
Collaborate with cross-functional teams, including AI/ML engineers, product managers, analysts, and other engineering squads, to align risk management strategies with business goals.
Proactively maintain the stability, security, and adaptability of the financial risk management systems.
Leverage data analysis and insights to ensure alignment with the companys growth and evolving business needs.
Respond quickly and proactively to emerging trends, delivering fast, impactful solutions that protect the product's financial success.

We are looking for a Senior Software Engineer to join our Compliance & Legal Squad.
This team plays a critical role in ensuring that our systems operate in full compliance with financial regulations while empowering our Legal department with modern, data-driven tools.
Youll be responsible for developing and maintaining systems that monitor compliance, automate regulatory processes, and support critical legal workflows all at large scale.
This role involves designing and building robust backend and data-oriented systems in a distributed microservices environment, with a strong emphasis on accuracy, reliability, and performance.
Key Responsibilities:
Lead the design and implementation of backend systems that ensure regulatory compliance and legal process automation.
Build scalable, reliable, and secure microservices that oversee large amount of financial transactions.
Collaborate with Legal, Compliance, and engineering teams to deliver accurate, high-quality data solutions.
Drive modernization efforts, including significant refactoring and migration to a modern, distributed architecture.
Work with large datasets and ensure data integrity across critical financial systems.
Write clean, efficient, and maintainable code aligned with best practices.

Required Senior Product Manager
What Youll Do:
Take part in defining the product vision, strategy, and supporting business metrics.
Research and identify new opportunities to continuously add, enhance and improve our products.
Define product timeline and resource allocation.
Create business requirements and functional specification documents based on an intimate knowledge of customers, the product, the market, competitive landscape, and internal dependencies within the company.
Conduct business and financial analysis to evaluate and determine the performance, gaps, and future enhancements.
Work cross-functionally with designers, software development engineers, and US based stakeholders to guarantee smooth and efficient product delivery.
Execute end-to-end management of product lifecycle - collecting and analyzing business requirements, prioritizing features based on business value, writing clear detailed tasks for development, and analyzing the results of features after deployment.

Required Senior Product Manager
What Youll Do:
Take part in defining the product vision, strategy, and supporting business metrics.
Research and identify new opportunities to continuously add, enhance and improve our products.
Define product timeline and resource allocation.
Create business requirements and functional specification documents based on an intimate knowledge of customers, the product, the market, competitive landscape, and internal dependencies within the company.
Conduct business and financial analysis to evaluate and determine the performance, gaps, and future enhancements.
Work cross-functionally with designers, software development engineers, and US based stakeholders to guarantee smooth and efficient product delivery.
Execute end-to-end management of product lifecycle - collecting and analyzing business requirements, prioritizing features based on business value, writing clear detailed tasks for development, and analyzing the results of features after deployment.

Were looking for a Senior Software Engineer to join a dynamic and high-impact team that owns the entire risk infrastructure behind our credit card. This includes real-time decisioning systems, integration with advanced ML models, risk engines, and credit strategies that directly impact our financial health and customer experience.
You'll collaborate closely with data scientists, backend developers, and product stakeholders to build systems from scratch, design complex architectures, and ensure scalable, high-performance infrastructure capable of making split-second decisions.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Key Responsibilities:
Design, implement, and maintain large-scale backend systems for real-time risk and credit decisioning.
Build and optimize data pipelines and streaming systems that support our risk and ML models.
Work closely with data scientists to integrate predictive models into production.
Build microservices and internal tools that serve thousands of users and scale with company growth.
Own projects end-to-end from requirements and architecture to testing, deployment, and monitoring.
Collaborate with engineering and cross-functional stakeholders to ensure business alignment and smooth delivery.
Drive best practices in software engineering from code quality and security to performance and maintainability.

Required Front End Engineer
About the Card Team:
The Card Team is at the heart of our credit card product. We manage the entire customer lifecycle, from the initial application and card ordering process to automated account management, including collections, credit limit adjustments, and monthly statements. Our team develops and maintains the platforms that allow over 200,000 customers (a number that has nearly doubled in the last year) to manage their accounts, update personal details, make payments, and view their transaction history. We support both direct-to-consumer cards and co-branded cards for our strategic partners, making a direct impact on the company's growth and our customers' financial lives.
What Youll Do:
As a Frontend Engineer on the Card Team, you will take ownership of the primary platforms our customers interact with daily: our web portal and native mobile app. You will be responsible for developing new features and enhancing the functionality related to our credit card services. This is a key role where you will directly shape the user experience for hundreds of thousands of cardholders, building the next generation of features for our rapidly growing product.
Key Responsibilities:
Develop, and maintain the customer-facing web and native applications for our credit card product.
Take ownership of the end-to-end development of new credit card-related features, from concept to deployment.
Implement new functionalities, such as customer benefits, rewards programs, and innovative payment solutions.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.

Were looking for a hands-on Devops Team Lead to build, manage, and scale a high-impact DevOps team. Youll lead infrastructure strategy, promote DevOps excellence, and drive automation and platform reliability across the organization. This role combines technical leadership with team development and operational ownership.
Your Responsibilities & Impact:
Lead and mentor a team of 5 DevOps engineers.
Own the impact of our infrastructure on success by providing engineering autonomy.
Foster a culture of ownership, learning, and continuous improvement.
Grow and structure the team to support expanding infrastructure and business needs.
Infrastructure & Platform Ownership:
Own and evolve scalable, secure, and observable cloud architecture (with a focus on AWS).
Leverage Kubernetes (EKS), Terraform, and GitOps to maintain reproducible infrastructure.
Proactively identify needs that align with the product and business goals.
Take the lead on production issues, ensuring availability and timely response.
Improve CI/CD processes, developer experience, and automation pipelines.
Lead strategic projects to modernize infrastructure, adopt new technologies, and improve stability.
Proactively drive retrospectives, platform upgrades, and systemic reliability improvements.
Monitor infrastructure health, optimize cloud costs, and track infrastructure KPIs.
Deeply understand system complexity and internal service dependencies.
Partner with Security to maintain compliance (SOC 2, access control, audits).
Hands-On Execution - Actively contribute to the design and implementation.

Required Data Team Lead
What Youll Do:
As the Team Lead of the Account Management squad, you will guide a multidisciplinary team of backend and data engineers responsible for some of our most critical financial operations. Your mission is to build and scale the systems that keep our loan and card processes accurate, transparent, and resilient while fostering a culture of collaboration, ownership, and technical excellence within the squad.
In this role, youll not only manage talented engineers but also work closely with finance, risk, product, and compliance stakeholders to ensure our technology delivers real business impact. Your teams scope includes payment allocation, disbursement management, and the delivery of loan and card performance data products that support both internal decision-making and external reporting across regulators, partners, and investors.
Key Responsibilities
Lead, mentor, and inspire a high-performing squad of backend and data engineers.
Own and evolve our loan account management systems and data products.
Ensure accuracy and automation in payment allocation and manage disbursement flows.
Deliver high-quality Loan Performance and Card Performance data products used across internal operations, executive dashboards, and external reporting.
Build scalable, reliable systems that support high transaction volumes with full financial integrity.
Partner with finance, risk, product, and compliance to align technology with business goals.

Required Data Infrastructure Engineer
What Youll Do:
Design, implement, and enhance robust and scalable infrastructure that enables efficient deployment, monitoring, and management of machine learning models in production. In this role, you will bridge the gap between research and production environments, streamline data and feature pipelines, optimize model serving, and ensure governance and reproducibility across our ML lifecycle.
Responsibilities:
Decouple data prep from model training to accelerate experimentation and deployment
Build efficient data workflows with versioning, lineage, and optimized resource use (e.g., Snowflake, Dask, Airflow)
Develop reproducible training pipelines with MLflow, supporting GPU and distributed training
Automate and standardize model deployment with pre-deployment testing (E2E, dark mode)
Maintain a model repository with traceability, governance, and consistent metadata
Monitor model performance, detect drift, and trigger alerts across the ML lifecycle
Enable model comparison with A/B testing and continuous validation
Support infrastructure for deploying LLMs, embeddings, and advanced ML use cases
Manage a unified feature store with history, drift detection, and centralized feature/label tracking
Establish a single source of truth for features across research and production across research and production.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.