Job Description We are looking for a highly skilled Senior Software Engineer to join our backend team (or full stack, if you bring frontend experience). You will play a key role in designing, developing, and maintaining scalable microservices that power our core products. This is a hands-on role with significant impact and visibility across the organization. Design, build, and maintain robust backend services and APIs using Python. Architect and implement microservices that are scalable, maintainable, and secure. Champion Test-Driven Development (TDD) and ensure high code quality through automated testing. Work with NoSQL databases, particularly MongoDB, to manage and query large datasets efficiently. Integrate and manage message queues like RabbitMQ for asynchronous processing. Containerize applications using Docker and orchestrate deployments with Kubernetes. Collaborate with cross-functional teams including product, frontend, and DevOps. Mentor junior engineers and contribute to code reviews and architectural discussions. Requirements 5+ years of professional software engineering experience. Strong proficiency in Python and backend development. Deep understanding of microservices architecture and RESTful API design. Experience with TDD, unit testing, and CI/CD pipelines. Hands-on experience with MongoDB or other NoSQL databases. Proficiency with RabbitMQ or similar message brokers. Solid knowledge of Docker and Kubernetes in production environments. Familiarity with frontend technologies (Angular) is a plus for full stack candidates. Excellent problem-solving skills and a collaborative mindset. Job Requirements 5+ years of professional software engineering experience. Strong proficiency in Python and backend development. Deep understanding of microservices architecture and RESTful API design. Experience with TDD, unit testing, and CI/CD pipelines. Hands-on experience with MongoDB or other NoSQL databases. Proficiency with RabbitMQ or similar message brokers. Solid knowledge of Docker and Kubernetes in production environments. Familiarity with frontend technologies (Angular) is a plus for full stack candidates. Excellent problem-solving skills and a collaborative mindset.
Job Description We are looking for a highly skilled Senior Software Engineer to join our backend team (or full stack, if you bring frontend experience). You will play a key role in designing, developing, and maintaining scalable microservices that power our core products. This is a hands-on role with significant impact and visibility across the organization. Design, build, and maintain robust backend services and APIs using Python. Architect and implement microservices that are scalable, maintainable, and secure. Champion Test-Driven Development (TDD) and ensure high code quality through automated testing. Work with NoSQL databases, particularly MongoDB, to manage and query large datasets efficiently. Integrate and manage message queues like RabbitMQ for asynchronous processing. Containerize applications using Docker and orchestrate deployments with Kubernetes. Collaborate with cross-functional teams including product, frontend, and DevOps. Mentor junior engineers and contribute to code reviews and architectural discussions. Requirements 5+ years of professional software engineering experience. Strong proficiency in Python and backend development. Deep understanding of microservices architecture and RESTful API design. Experience with TDD, unit testing, and CI/CD pipelines. Hands-on experience with MongoDB or other NoSQL databases. Proficiency with RabbitMQ or similar message brokers. Solid knowledge of Docker and Kubernetes in production environments. Familiarity with frontend technologies (Angular) is a plus for full stack candidates. Excellent problem-solving skills and a collaborative mindset.
Job Description About the Role We are seeking a data-driven Product Manager to lead the development and evolution of our data analytics offering. This role is ideal for someone with a strong background in product management within a tech-driven environment, and a passion for solving complex problems using data. You will work cross-functionally with engineering, design, compliance, and commercial teams to define and execute the product strategy. Experience or exposure to trade finance, compliance, anti-money laundering (AML), or related financial domains is highly desirable. Key Responsibilities Define and own the strategic roadmap for our data analytics offering, aligning with company goals and market needs. Drive customer discovery and market research to identify opportunities and validate product direction. Use data to inform product decisions, measure success, and continuously optimize the product experience. Collaborate with stakeholders to gather requirements and translate them into clear product specifications. Stay ahead of regulatory and industry trends in fintech, ensuring our products remain compliant and competitive. Partner with engineering and design teams to deliver high-quality, scalable solutions. Communicate product vision and updates effectively across all levels of the organization. Requirements Strong analytical skills with the ability to interpret complex data and make informed decisions. 5+ years of experience as a Product Manager, ideally in a SaaS or technology-driven environment. Familiarity with trade finance, compliance, AML, or related financial services is a strong plus. Proven track record of delivering successful data or analytics products. Excellent communication and stakeholder management skills. Experience with agile methodologies and product management tools (e.g., Jira, Confluence, Figma, etc.). Ability to think strategically while managing tactical execution. Nice to Have Experience working with data science or machine learning teams. Knowledge of regulatory frameworks in fintech. Technical background or familiarity with data infrastructure and APIs.
Job Description About Us We are a fast-growing trade finance technology company dedicated to transforming the way businesses access working capital. Our teams are solving complex problems at the intersection of finance, data, and technology. We are looking for a Senior Data Engineer to join our team and help build scalable, reliable, and high-performance data infrastructure that supports both our Analytics and Machine Learning teams. What You’ll Do Design, build, and maintain robust, scalable, and efficient data pipelines (batch and real-time) to support ML model training, inference, and business intelligence Partner closely with the product team to deliver the datasets, pipelines, and tooling needed for advanced analytics Develop and optimize our data lake, data warehouse, and feature stores to ensure accuracy, consistency, and accessibility of data across teams Implement data quality frameworks and monitoring solutions to ensure trust in the data Lead the adoption of best practices in data modeling, ETL/ELT, orchestration, and cloud-based data platforms (e.g., GCP, Azure). Contribute to the architecture and design of the company's next-generation data platform to enable real-time insights and machine learning at scale. Mentor junior engineers and collaborate across cross-functional teams including Product, Engineering, and AI Location: Full Remote What We’re Looking For 5+ years of hands-on data engineering experience in cloud-native environments. Proficient in building ETL/ELT pipelines using tools such as Spark/PySpark Strong experience with SQL, Python, and distributed data systems (e.g., Delta Lake) Solid understanding of data architecture patterns (data lake, lakehouse, warehouse) and data governance Experience working with machine learning teams (e.g., building feature pipelines, model scoring pipelines, real-time inference) is highly desirable Strong familiarity with BI tools (e.g., PowerBI) and supporting self-service analytics Prior experience in FinTech, Trade Finance, or Financial Services is a strong plus Excellent problem-solving, communication, and stakeholder management skills Nice To Have Familiarity with MLOps practices and tooling Exposure to regulatory compliance and risk modeling in the finance domain Experience in Anti-Money Laundering in the trade space Why Join Us? Be part of a mission-driven team reshaping global trade finance Work on cutting-edge data problems supporting both real-time decision-making and machine learning Competitive compensation, equity, and benefits. Flexible, collaborative, and innovative work culture
Provide world class client servicing to our clients Create BRDs for our technology teams including feature development or functional enhancement to the Traydstream platform Manage expectations and communication lines between internal and external stakeholders Design and implement solutions to continuously improve TAT, Accuracy and all productivity related KPIs as provided by the Chief Product Officer Test the Traydstream platform for new features or modified functions added to our products as per our client s expectations Measure, monitor and record data related to our client s transaction efficiency or efficacy on the Traydstream platform Research and propose creative ideas to address the root cause of functional platform problems Implement solutions that improves the trade document processing times and quality of our client s transactions sets Manage project and/or process deliverables and approvals by communicating cross functionally with the Chief Product Officer, Chief Technology Officer, Chief Revenue Officer & Head of Product. Coach clients through pilots by initiating their trade transactions sets into the platform Integrate the latest developments of trade into our platform engines Incorporate trade documentation best practices for our trade officers and clients Identify and combine trade finance processes and technologies to the Traydstream platfor
About the Role: We are seeking a highly skilled Trade Document Specialist with strong interpersonal and analytical abilities to join our Rules Product Team based in India. This is a cross-functional role that requires deep expertise in Trade Finance and hands-on experience in managing incoming Letters of Credit (LCs) and Amendments. The successful candidate will contribute to enhancing our AI-driven trade document checking platform by transforming trade expertise into structured rule logic, ensuring accuracy, efficiency, and compliance. You will work closely with Product and Technology teams to enhance the platform's capabilities, improve automation, and deliver best-in-class client outcomes. Key Responsibilities: Configure and teach the system clause requirements through the Rule Engine. Process daily document volumes with accuracy and efficiency. Ensure adherence to Quality and Turnaround Time (TAT) KPIs as per client SLAs. Participate in testing cycles prepare test cases, execute testing, and validate results in the testing environment. Identify and mitigate operational and financial risks related to trade document processing. Guide and mentor new team members, providing support on domain knowledge and process understanding. Qualifications and Skills: 46 years of experience in Trade Transaction Processing. Undergraduate or Postgraduate degree (BBA, B.Com, MBA, or equivalent). CDCS certification or Document Checking experience (minimum 24 years). Strong understanding of data collection and analysis techniques. Excellent time management and multi-tasking skills in a fast-paced environment. Ability to work independently with minimal supervision. Proficiency in Microsoft Office Suite and English (written and spoken). Sound knowledge of UCP 600, ISBP (latest edition), and related trade finance standards. Preferred Abilities: Prior involvement in automation or digitization initiatives within trade processing. Basic understanding of Artificial Intelligence (AI), Machine Learning (ML), and Cloud Infrastructure concepts.