StructureIt

Backend Engineer

• Work as part of a highly skilled development team delivering software solutions across multiple projects
• Contribute to a range of projects including big-data analytics applications, financial platforms, and backend systems
• Participate in greenfield development and full project lifecycle activities
• Design, build, and maintain robust data pipelines and backend services using Python
• Develop scalable ETL/ELT processes and distributed data workflows for large datasets
• Build APIs and microservices to support data integration and analytics use cases
• Implement Azure-based solutions using Data Factory, Databricks, Functions, Storage, and related components
• Optimise data processes for performance, reliability, and cost efficiency
• Produce clean, testable, maintainable code following engineering best practices
• Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and refinement
• Contribute to all stages of the SDLC: requirements, design, development, testing, deployment, and maintenance

Python Developer, Data

Data Analyst

• Gather, extract, transform and analyze complex financial data by working with cutting edge tools and new technologies.
• Map collateral data from CLO (Collaterised Loan Obligations) portfolio reports to a standardised set of loan instruments.
• Perform Quality Assurance steps.
• Scrutinise legal documents and identify relevant information from Deal documents pertaining to CLOs, CMBS etc.
• Perform Deal set up and Extraction rules set up on system.
• Detect and rectify legacy data when errors are found to be present.
• Liaise with development team to suggest improvements / changes to the system.
• Liaise with loan instrument pricing team to suggest updates to existing data.
• Contribute and participate in Ad-Hoc projects.

Junior Data Analyst

Full-stack Engineer

• This is a hands-on coding position with challenging problems to solve.
• Delivering high quality working software, which all contributes to the overall success of our product suite.
• Product Roadmap Maintenance / Technical Debt.
• Product Support.
• Coding, collaborating, and communicating as part of a cross functional globally distributed product team.
• Code reviews and contributing to shared best practices.
• Collaborating on high-level system architecture and technical strategy.
• Contributing to automation that drives our CI/CD and improving or creating internal tooling.
• Continuous learning – we encourage continuous learning and knowledge sharing.
• Regular 1:1’s & bi-directional feedback with your team lead/manager/mentor.

Software Engineer

• Gather, extract, transform and analyze complex products and financial data by working with cutting edge Technology and Tools.
• Scrutinising legal documents and identifying relevant information from Deal documents pertaining to CMBS & CRE CLO’s.
• Analysing complex product data.
• Mapping of monthly updates to system settings.
• Perform Quality Assurance checks.
• Launch and monitor processes quickly to deliver data rapidly.
• Setting up extraction rules on the system and monthly processing of data extraction.
• Review report integrity as per guidelines/format.
• Solving and answering clients’ queries via email & phone Call.
• Contact other companies to get more information when required.
• Checking revised reports and updating data as necessary.
• Monitoring overall system and data health and raising any concerns with developers.
• Suggest and implement process improvements/Process documentation.
• Identifying opportunities to improve data processing and providing practical solutions to automatize processes.
• Contribute and participate in Ad-Hoc projects.

Junior Data Analyst – CMBS

Project Manager

• Own the end-to-end project lifecycle, ensuring on-time, on-budget delivery aligned to scope and quality standards.
• Develop and maintain detailed project plans, tracking deliverables, budget, dependencies, and minimizing project risks.
• Capture and track Performance OKRs.
• Act as primary liaison between clients, internal teams, and leadership, ensuring alignment on priorities and deliverables.
• Facilitate clear, transparent communication and proactive status reporting.
• Champion Agile best practices, driving continuous improvement in delivery processes.
• Develop and maintain tools, templates, and frameworks to improve delivery efficiency and quality.

SDET

• Work on several major existing and Greenfields projects in the international financial services and data space.
• Ensure high quality and standard is maintained by collaborating with the QA team.
• Undertake functional and integration testing, and liaison with third-party suppliers.
• Drive test automation and improve processes.
• Design and build test automation frameworks and pipelines from scratch.
• Create Automated test scripts and monitor Automation and Manual test execution.
• Identify, log and track Defects and execute Regression tests.
• Prepare and maintain relevant test documentation, including test scripts and reports.
• Liaise with and assist each line of business regarding test planning, activities, and results analysis.

QA Automation Engineer

Analytics Engineer

• Analyze complex customer data sets, schemas, and data flows to assess integration needs
• Collaborate with data engineers and developers to develop effective data ingestion, transformation, and mapping processes
• Validate data quality, completeness, and alignment with business requirements
• Development of scalable data integration and transformation pipelines by coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python
• Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed
• Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs
• Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs supporting business decision-making
• Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration
• Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs
• Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs
• Provide feedback on product improvements based on client needs and data insights
• Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making

Python Developer, Data

Junior Data Analyst

Software Engineer

Software Engineer

Junior Data Analyst – CMBS

Project Manager

QA Automation Engineer

Data Analytics Engineer