OneMarketData

Implementation Specialist

• Client Engagement & Communication: Work closely with clients to understand their specific needs, diving deep into their trading data, and addressing technical questions and implementation challenges
• Data Analysis: Analyze complex financial and trading data sets to identify issues, patterns, and optimization opportunities, ensuring accurate and reliable implementation outcomes
• Custom ETL Development: Design and build client-specific ETL processes, particularly for applications like Trade Surveillance and Transaction Cost Analysis
• Customization of Standard Products: Write tailored code to adapt our core products to meet individual client requirements, ensuring smooth integration with their systems
• Maintain and Troubleshoot Pipelines: Ensure the ongoing functionality of data pipelines, actively troubleshooting and collaborating with the product development team to resolve issues
• Continuous Improvement: Participate in the improvement of processes, tools, and solutions while learning proprietary technologies such as OneTick.

Implementation Engineer

Engineer

• Monitor services and detect, register, and triage incidents
• Resolve or escalate incidents to the appropriate teams
• Fulfil service requests from our clients
• Deploy software changes via GitLab CI/CD pipelines

Monitoring Engineer

Backend Engineer

• Develop Infrastructure focused solutions and API services using Cloud Native tooling in a microservices based architecture
• Develop and maintain microservices, ensuring they are secure, scalable, maintainable, and performant
• Implement and manage cloud-native solutions using platforms such as AWS, Azure, or Google Cloud
• Utilize cloud services (e.g., databases, storage, messaging) to enhance application functionality and performance
• Apply design patterns and use modern architectural principles to create robust and scalable backend systems
• Work closely with frontend and DevOps teams to ensure seamless integration and deployment of services
• Monitor and optimize the performance of backend services to ensure high availability and reliability
• Diagnose and resolve technical issues, ensuring the stability and reliability of backend systems
• Write and maintain comprehensive technical documentation for developed services and systems
• Provide guidance and mentorship to junior engineers, fostering a collaborative and growth-oriented environment
• Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives

Senior Software Engineer – Backend Infrastructure

QA Engineer

• Collaborate with cross-functional teams to ensure seamless integration and delivery of high-quality software
• Work with the scrum team to determine priorities and requirements based on customer requirements
• Drive Quality through manual testing and test automation
• Conduct exploratory testing, create and execute manual test plans, write automated tests and analyze failures
• Identify process improvements and determine how best to automate regression tests
• Provide “shift left” feedback on any areas of concern
• Ensure critical issues reported by QA are addressed timely
• Report on release candidate quality and highlight potential release blockers or other concerns
• Keep abreast of emerging QA tools and best practices

Senior UI/UX QA Engineer

Financial Planning and Analysis

• Monthly closing and revenue reporting preparation
• Revenue recognition in accordance with ASC606
• Perform revenue and forecast reconciliations and analysis
• Sales Commissions calculation
• Sales Receipts Projection
• Management Reporting
• Ad hoc projects

Financial Analyst

Data Scientist

• Automate, design, implement, and deploy monitoring, reporting, and forecasting systems for a high-performance FinTech platform
• Develop statistical models and machine learning algorithms (e.g., anomaly detection, clustering, regression) with an understanding of customer demands
• Prepare, engineer features, and analyze large-scale financial datasets
• Build and maintain production-ready ML pipelines for model training, validation, and performance monitoring
• Design and implement workflows for reporting, alerting, and forecasting
• Develop and refine LLM-powered agents to enable natural language interaction and analytics automation
• Drive the deployment and support of ML products and enable advanced workflows including natural language analytics powered by LLM agents

Recruitment

• Manage the full-cycle recruitment process to attract and hire top technical and non-technical talent.
• Collaborate with hiring managers to create detailed and accurate job descriptions aligned with business needs and goals.
• Source candidates using a variety of channels including job boards, social media, employee referrals, and professional networks.
• Coordinate and conduct recruitment activities, including screening calls, interview scheduling, and supporting technical interview processes.
• Manage and monitor the candidate pipeline, ensuring timely communication and positive candidate experience throughout the hiring process.
• Maintain accurate and up-to-date candidate records in the applicant tracking system (ATS).
• Support HR operations by handling general administrative tasks requested by the team and management.
• Contribute to continuous improvement of recruitment processes and practices.
• Background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement required.