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Codat

Codat

www.codat.io

2 Jobs

136 Employees

About the Company

We offer products that make it easy to access, synchronize, and interpret data from your business customers’ financial software for specific use cases, such as onboarding suppliers to commercial card programs and underwriting business loans.

The depth of specialization and expertise that runs through our products and service enables our clients to more effectively grow share of wallet, reduce churn, and scale operations.

Founded in 2017, Codat is trusted by over 300 global clients and backed by leading investors, including JP Morgan, Canapi Ventures, Shopify, Plaid, Tiger Global, PayPal Ventures, Index Ventures, and American Express Ventures.

Listed Jobs

Company background Company brand
Company Name
Codat
Job Title
Staff Frontend Engineer
Job Description
**Job title** Staff Frontend Engineer **Role Summary** Senior/Staff level frontend specialist responsible for shaping product vision, leading technical strategy, and delivering high‑quality, user‑centric web applications. Acts as a mentor, architectural SME, and cross‑functional collaborator in a fast‑paced, AI‑enabled environment. **Expectations** - Lead and mentor engineers across all levels, driving best practices in frontend architecture and development. - Own and accelerate key initiatives, balancing long‑term strategy with immediate execution. - Champion code quality, observability, SRE principles, and secure, accessible design. - Engage with product, design, and operations teams to align on roadmap and deliver seamless user experiences. - Stay ahead of emerging frontend and AI technologies, influencing technical roadmap. **Key Responsibilities** - Architect, develop, and maintain performant, responsive React/TypeScript applications (Svelte optional). - Mentor and coach engineering talent; conduct code reviews, knowledge sharing, and technical workshops. - Define and refine engineering practices, CI/CD pipelines, build tooling, and cloud deployment strategies (Docker, Kubernetes). - Drive testing strategy across unit, integration, and end‑to‑end layers (Jest/Vitest, React Testing Library, Cypress). - Collaborate with backend teams to model data flow and API integration; ensure front‑end resilience via SRE principles. - Implement observability, logging, and security controls. - Evaluate and integrate AI solutions to enhance product and engineering productivity. **Required Skills** - Deep proficiency in React, TypeScript, and modern JavaScript ecosystem. - Experience with build tools, containerization (Docker), orchestration (Kubernetes), and cloud deployments. - Strong background in UI/UX best practices, accessibility, and responsive design. - Expertise in testing frameworks (Jest, Vitest, React Testing Library, Cypress). - Knowledge of SRE concepts applied to frontend systems. - Security‑aware development practices. - Proven mentorship, leadership, and stakeholder communication skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or equivalent (preferred).
United kingdom
Remote
22-01-2026
Company background Company brand
Company Name
Codat
Job Title
Senior Data Scientist
Job Description
**Job title:** Senior Data Scientist **Role Summary:** Drive the design, development, and deployment of AI/ML solutions for a financial data platform. Serve as a technical leader and mentor, shaping best practices, product strategy, and high‑quality data science workflows. **Expactations:** - Deliver end‑to‑end machine‑learning pipelines (feature engineering, model training, deployment, monitoring) at scale. - Mentor junior data scientists and influence cross‑functional teams on data‑driven decisions. - Own AI/ML integration into core products, iterating from discovery to production. - Advocate and implement MLOps, CI/CD, and cloud infrastructure best practices. - Communicate complex technical concepts to both technical and non‑technical stakeholders. **Key Responsibilities:** 1. Design and implement scalable ML models and data pipelines in Python (scikit‑learn, pandas, PyTorch/TensorFlow). 2. Conduct advanced SQL queries and leverage big‑data platforms (Databricks, Spark). 3. Build and maintain production model deployment strategies (serverless, containerized) and monitoring systems. 4. Develop and maintain CI/CD pipelines on AWS, GCP, or Azure; automate data science workflows. 5. Mentor teammates, provide code reviews, set technical standards, and lead architectural discussions. 6. Translate business requirements and financial domain insights into feature sets and product enhancements. 7. Collaborate with product, engineering, and security teams to ensure data protection and compliance. 8. Evaluate and prototype innovative AI solutions (LLMs, agents) to add product value. **Required Skills:** - Expert in Python data science ecosystem: scikit‑learn, pandas, NumPy, SciPy. - Advanced SQL and experience with Databricks / Spark. - Proven MLOps expertise: model versioning, CI/CD, cloud deployment, monitoring. - Cloud platform proficiency (AWS, GCP, or Azure). - Strong understanding of AI/ML fundamentals, deep learning, and emerging AI technologies. - Ability to articulate data science concepts to diverse audiences. - Knowledge of data protection, security, and compliance best practices. - Leadership, mentorship, and continuous improvement mindset. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related STEM field. - Relevant certifications (e.g., AWS Certified Machine Learning, GCP Professional Data Engineer, Azure Data Scientist Associate) are a plus.
United kingdom
Remote
Senior
02-03-2026