Latest Jobs at Ovations Technologies

• We are seeking a Senior Machine Learning Engineer for a 12-month contract to operationalize, scale, and manage production-grade ML, AI, and GenAI solutions. You will focus on building robust MLOps pipelines on Databricks, deploying AI Agents and RAG solutions, and hosting containerized models and custom microservices on Azure Kubernetes Service (AKS).

Responsibilities include:

• Databricks & MLOps Pipelines: Productionize, automate, and monitor ML pipelines, model serving, and workflows using Databricks, MLflow, and Mosaic AI with full CI/CD practices.
• GenAI & Agent Deployment: Build, deploy, and support enterprise GenAI applications, AI Agents, and Retrieval-Augmented Generation (RAG) solutions.
• Kubernetes & API Engineering: Deploy and optimize open-source AI models and custom REST microservices on Azure Kubernetes Service (AKS) using Docker and Kubernetes.
• Model Observability & Support: Monitor model drift, operational health, performance, and infrastructure costs in production; resolve technical issues across APIs and pipelines.
• Cross-Functional Collaboration: Partner with Data Scientists to transition prototypes into scalable, compliant enterprise assets.

Requirements include:

• Education: Degree in Computer Science, Engineering, Mathematical Statistics, Actuarial Science, Econometrics, or a quantitative field.
• Platform & Containerization: Strong hands-on experience with Databricks (MLflow, Model Serving) and Azure Kubernetes Service (AKS) using Docker and Kubernetes.
• Core Tech Stack: High proficiency in Python, SQL, and REST API development.
• MLOps & CI/CD: Demonstrated experience building automated CI/CD deployment pipelines, model monitoring, and observability frameworks.
• GenAI & Production ML: Practical experience deploying machine learning models, LLMs, RAG architectures, and microservices into live enterprise environments.

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• We are looking for an experienced AI Automation Engineer to join a next-generation AI Payments Engineering Team focused on designing and delivering an AI-native Payments Operating System.
• This role will focus on transforming high-effort, high-risk financial operations into scalable, intelligent, auditable and production-ready AI solutions. Key focus areas include automation of Payments processes such as reconciliations, audit, reporting, financial analytics and operational processes.

Key Responsibilities

• Design, build, test, deploy and maintain production-grade AI automation workflows.
• Build and deploy agentic and multi-agent workflows for reconciliations, audit, reporting and financial analytics.
• Develop solutions using Claude/Anthropic APIs, Spring AI, Java and/or Python.
• Use n8n or equivalent workflow engines and MCP or similar multi-agent coordination layers.
• Integrate internal and external systems through APIs, data pipelines and reporting systems.
• Identify automation opportunities across Payments operations.
• Ensure solutions include appropriate human oversight and approval controls.
• Build reusable AI frameworks, templates and workflows.
• Develop dashboards and metrics to measure efficiency, cost reduction, risk outcomes and ROI.
• Create documentation, standards and training to support adoption.

AI Governance & Risk

• Classify automation solutions according to risk tiers before development.
• Ensure documented data flows, access controls and full audit logging.
• Design AI automation solutions that maintain control integrity in regulated environments.

Essential Skills & Experience

• Hands-on experience deploying production-grade AI and agentic systems.
• Strong understanding of LLM orchestration and multi-agent systems.
• Understanding of AI failure modes in high-stakes environments.
• Experience with Spring AI and/or Python-based orchestration.
• Experience with n8n or similar workflow engines.
• Experience integrating AI APIs, including Anthropic/Claude or similar.
• Strong API and systems integration experience.
• Ability to deliver across the full lifecycle: Discovery Design Build Deploy Optimise.
• Strong architecture and scalable platform design skills.
• Experience working in fast-paced and ambiguous environments.
• Strong ownership mindset and ability to bridge business, finance and engineering domains.
• Excellent communication and stakeholder engagement skills.

Stakeholders

You will work closely with:

• Payments Backend Teams
• Infrastructure & Platform Teams
• Compliance & Audit Teams
• AI Centre of Excellence
• If you have strong experience in AI Automation, Agentic AI, LLMs, Python/Java, Workflow Automation and Production AI Systems, we would love to hear from you!

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• Are you an experienced Kofax Technical Specialist with strong Document Management and Enterprise Content Management experience?
• We are looking for a skilled professional to configure, implement, support and maintain document capture solutions using the Kofax product suite.

Key Responsibilities

• Configure and support implementation solutions using Kofax Total Agility (KTA)
• Work with Kofax Capture, Kofax Transformation Modules (KTM), Kofax Total Agility (KTA), Kofax Import Connector, and related Kofax technologies
• Manage and support document capture processes
• Manage capacity, modifications, user creation, troubleshooting and general support
• Implement, install, upgrade and maintain third-party packages
• Create and maintain technical documentation and operating procedures
• Provide task estimations and work allocation recommendations
• Execute disaster recovery processes and tests
• Participate in proof of concepts and product evaluations
• Report on progress of technical tasks
• Maintain and enhance systems based on business requirements and approved technology standards
• Provide production support and standby duty
• Transfer knowledge to team colleagues

Qualifications & Experience

• Relevant IT Degree or Diploma
• Minimum of 5 years' Document Management experience
• Strong experience with the Kofax product suite for content capture
• Experience with enterprise-level deployments
• Exposure to Agile or Scrum methodologies

Important Skills

• Kofax Total Agility (KTA)
• Kofax Capture
• Kofax Transformation Modules (KTM)
• Kofax Import Connector
• Document Management
• Enterprise Content Management (ECM)
• Solutions development and design
• Development experience
• Database skills
• Problem-solving and troubleshooting

Advantageous Skills

• Kofax Robotic Process Automation experience
• Cloud experience: AWS, Azure or GCP
• Scripting languages: PowerShell, Python or JavaScript
• Understanding of RESTful API integration

Personal Attributes

• Strong analytical and numerical ability
• Excellent problem-solving skills
• Strong communication and interpersonal skills
• Results-oriented
• Quality-focused
• Strong learning orientation
• Ability to manage and prioritise tasks effectively

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Job Description:

• This is a 12 - month contract with our client in the banking sector.

Key Responsibilities

• Planning & Solution Architecture: Design, build, and support enterprise SAC planning, forecasting, budgeting, and dashboard solutions. Implement planning models, versions, allocations, data actions, and advanced formulas.
• Data Modelling & Integrations: Model and optimize data structures for performance and scalability. Integrate SAC with SAP BW/4HANA, SAP Datasphere, SAP HANA Cloud, and S/4HANA landscapes.
• AI & Advanced Analytics: Leverage Just Ask, Joule, and AI-assisted capabilities to optimize natural language queries, search, and user insights.
• Reporting & Modernization: Develop SAC Stories, Analytic Applications, and Analysis for Office (AFO) workbooks. Lead migration/modernization initiatives from legacy SAP BI, BOBJ, and AFO environments.
• Technical Leadership & Governance: Act as a technical integration specialist, consult on SAC best practices, maintain technical documentation, and mentor team members across the SAP analytics landscape.
• Operations & Delivery: Execute testing, deployment, risk management, and root-cause resolution for production incidents within agreed SLAs under minimal supervision.

Minimum Requirements

Mandatory Experience & Qualifications

• Certification: Certified SAP Analytics Cloud (SAC) Professional.
• Core SAC Expertise: Proven track record in SAC Planning and Forecasting end-to-end implementations.
• Development & Scripting: Strong hands-on experience developing SAC Stories, Analytic Applications, Models, Advanced Formulas, Data Actions, and Scripting in Optimized Stories.
• Architecture & Connectivity: Experience utilizing Virtual Data Models / Virtual Data Sources and live connectivity architectures.
• AI & Next-Gen Analytics: Hands-on experience with Just Ask, Joule, and AI-driven analytics functionality within SAC.
• Integrations: Solid understanding of SAC integration with BW/4HANA, Analysis for Microsoft Office (AFO), and S/4HANA environments.

Preferred Experience

• Hands-on experience with SAP Datasphere, Business Data Cloud (BDC), or SAP HANA Cloud.
• Exposure to SAP BW/4HANA and predictive analytics / machine learning capabilities within SAP.
   

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Job Description:

• This is a 3 – month contract with our client in the banking sector.
• We are seeking a specialist to lead a key backlog remediation project to clear balance sheet Assets under Construction (AuC), review WBS projects, establish audit controls, draft a Fixed Asset Policy, and recommend process improvements ahead of an S/4HANA implementation.

Key Responsibilities

• Asset Accounting (FI-AA): Manage asset master data, capitalization dates, and useful lives. Process acquisitions, transfers, retirements, and impairments. Validate depreciation runs and reconcile FI-AA to the General Ledger for year-end audit readiness.
• Project Systems (PS): Maintain project definitions, WBS structures, budgets, and cost allocations. Clear AuC backlogs, execute line-item settlements to fixed assets, and lead project close-outs.
• Inventory Management (MM-IM): Verify material master records and info records. Monitor goods receipts, goods issues, stock transfers, and perform inventory-to-GL reconciliations.
• Governance & Process Improvement: Formulate a business-wide Fixed Asset Policy. Recommend high-level people and process enhancements ahead of S/4HANA implementation and deliver team training.

Minimum Requirements

• Qualifications: Advanced Diploma / National First Degree in Accounting or related field.
• Work Experience: Minimum 3–5 years of relevant financial management experience.
• Technical Skills: Strong proficiency in SAP EHP8 FI-AA, PS, and MM-IM modules.
• Compliance & Audit: Proven track record in fixed asset policy drafting, balance sheet reconciliations, and audit schedule preparation.
   

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About the Role 

• We are looking for an experienced Product Systems Analyst to support and maintain trading systems within a global markets environment. The successful candidate will work closely with business and technology teams to support trading teams, optimise processes, improve system functionality and identify technology solutions that enable business objectives.

Key Responsibilities

• Provide effective support to trading and business teams to ensure a stable production environment.
• Optimise processes and implement effective technology solutions for the Markets business.
• Identify opportunities to improve business processes and systems and recommend appropriate solutions.
• Translate business requirements into robust solutions that support business continuity.
• Participate in projects in a consulting or specialist capacity throughout the project lifecycle.
• Ensure trading systems are configured for optimal performance and continuously improve existing functionality.
• Document system processes, procedures and policies.
• Develop troubleshooting and incident recovery procedures and support successful handover to relevant support teams.
• Manage security and regulatory compliance requirements for trading systems.
• Build and maintain effective relationships with technical teams and business stakeholders.
• Elicit, analyse and validate requirements for changes to trading systems.
• Participate in change management processes and collaborate with various technology delivery teams.
• Stay informed of industry trends and share knowledge with team members and stakeholders.
• Identify opportunities for new or enhanced processes that improve business operations.
• Support the implementation of recommendations by communicating benefits and obtaining stakeholder buy-in.

Minimum Requirements

Qualifications:

• BSc in Computer Science, IT, Mathematics, Engineering or Statistics; or
• BCom in Information Systems, Finance or Investments; or
• BTech in IT, Engineering, Mathematics or Business Analytics.
• Relevant postgraduate qualification will be advantageous.

Experience:

• 2–3 years' experience supporting trading systems.

Required Exposure & Knowledge

• Understanding of financial markets and the markets value chain, including:
• Trading
• Treasury
• Sales
• Operations
• Finance
• Market Risk
• Experience working with cross-functional teams and managing stakeholders.
• Strong relationship-building skills with internal and external stakeholders.
• Experience analysing and interpreting quantitative and qualitative data.
• Ability to manage multiple projects simultaneously.
• Strong written and verbal communication skills, including the ability to communicate complex information.
• Experience resolving accounting and P&L-related issues.
• Knowledge of Money Markets and Foreign Exchange (FX) products.
• Understanding of finance fundamentals, including:
• Time value of money
• Cash flow discounting
• Curve valuation
• Strong analytical and problem-solving abilities.
• Ability to identify and minimise business and operational risks.

Technical / Professional Knowledge

• Governance, Risk and Controls
• Financial Markets and Instruments
• Data Analysis and Interpretation
• Project Management principles
• Relevant regulatory knowledge
• Microsoft Office
• Structured Query Language (SQL)
• Industry trends

Key Competencies

• Adaptability
• Applied Learning
• Building and Earning Trust
• Communication
• Managing Work
• Technical and Professional Knowledge

What We Are Looking For

• The ideal candidate will be a technically strong Product Systems Analyst with experience supporting trading systems and a solid understanding of financial markets. You should be comfortable working with both business and technology stakeholders, analysing complex requirements and contributing to solutions that improve system performance and business efficiency.

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• We are looking for an experienced BPM / Workflow Software Developer to translate detailed designs into robust solutions through programming and configuration, while providing guidance and mentoring to other developers.

 Key Requirements

 5+ years' software development experience with:

• Java 11+
• Spring Boot
• REST APIs
• Microservices
• JSON

5+ years' practical experience in Business Process Analysis.

Strong hands-on experience with IBM BPM / BAW or Camunda 7/8, including:

• BPMN / DMN modelling
• Workflow automation & orchestration
• Camunda Modeler
• External Task Workers
• Incident handling
• Deployment & monitoring
• Custom UI integration
• Practical experience with Kafka / Confluent and event streaming, including publishing and consuming events.
• Experience with Git and CI/CD, particularly Azure DevOps Pipelines.
• 2+ years' experience analysing processes and identifying automation opportunities.

 Additional Skills

• Solution design
• Functional & performance testing
• AI-enabled workflow optimisation
• Data-driven decision automation
• Banking knowledge
• BPMN 2.0

Qualifications & Certifications

Essential:

• Diploma in Computer Science, Information Systems, Software Engineering or related field.

Preferred:

• Bachelor's degree in a relevant field.

Certifications:

• Camunda Certified Modeler / Developer
• Kafka / Confluent Practitioner
• Azure AZ-900 / AZ-104 / AZ-204

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• We are looking for an experienced Senior Technical Specialist with strong IBM Enterprise Content Management (ECM) experience to join a technical team supporting and enhancing enterprise content management solutions.

Key Responsibilities

• Configure and support solutions using the IBM Content Management suite
• Work with IBM Content Manager, IBM Content Manager OnDemand, IBM Content Navigator and IBM Records Manager
• Implement, install, upgrade and maintain IBM-related third-party packages
• Develop and maintain technical documentation and operating procedures
• Perform task estimations and provide work allocation recommendations
• Execute and support Disaster Recovery processes and testing
• Participate in Proof of Concepts (POCs)
• Maintain and enhance systems according to business requirements and approved technology standards
• Provide production support and participate in standby duties
• Evaluate products and technologies
• Report on technical task progress
• Share knowledge and support team members

Requirements

• Relevant IT Degree or Diploma
• Minimum 5 years' IBM Content Management experience
• Strong experience with:
• IBM Content Manager
• IBM Content Manager OnDemand
• IBM Content Navigator

Advantageous Skills

• Solutions development and design
• Development and scripting
• Relational databases, DB2 and MS SQL
• Windows Server, Red Hat Linux and AIX
• Enterprise Content Management technologies and processes
• IBM FileNet
• IBM Enterprise Records
• IBM Content Classification
• IBM Content Collector
• Strong problem-solving and stakeholder engagement skills

Key Competencies

• Strong analytical and numerical ability
• Problem-solving skills
• Conceptual thinking
• Good communication and interpersonal skills
• Action and results orientation
• Quality orientation
• Continuous learning mindset
• Ability to prioritise and manage multiple tasks

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• We are looking for an experienced Senior Fraud & Forensics MLOps Engineer to join a leading organisation and support the development, deployment and lifecycle management of fraud detection and financial crime analytics models across multiple markets.
• This is a hands-on technical role focused on taking fraud models from experimentation through to secure, scalable and monitored production environments.

Key Responsibilities

• Build, deploy and support MLOps solutions for fraud detection and financial crime analytics.
• Develop and maintain CI/CD pipelines for model training, testing, deployment and release management.
• Automate model retraining, versioning, deployment, rollback and environment promotion.
• Containerise and deploy models using Docker, Kubernetes or equivalent technologies.
• Implement model monitoring covering performance, data/feature drift, latency, errors and operational health.
• Support model registries, feature stores and experiment tracking.
• Troubleshoot model pipeline failures, deployment issues and production defects.
• Develop reusable deployment templates, automation scripts and monitoring components.
• Support fraud models used for transaction monitoring, anomaly detection, risk scoring and suspicious activity detection.
• Ensure model deployments meet security, governance, audit and compliance requirements.
• Work closely with Fraud & Forensics, Data Science, Data Engineering, Technology, Risk, Compliance and Information Security teams.
• Provide post-deployment support, technical documentation and knowledge transfer.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Statistics, Engineering, Information Systems, Finance, Risk Management, Forensics or a related field.
• 5–7+ years' experience in fraud analytics, financial crime analytics, fraud detection, transaction monitoring, digital risk, fintech, banking, payments or mobile money.
• Experience with fraud detection models, risk scoring, anomaly detection or transaction monitoring.
• Strong understanding of fraud typologies, risk indicators, false positives, missed detections and model performance.
• Experience working with Data Science, Technology and Data teams to operationalise analytics models.
• Strong understanding of MLOps, CI/CD, model deployment and production support.
• Experience with technologies such as:
• Python
• Git / GitHub
• Azure DevOps / GitHub Actions / Jenkins
• Docker
• Kubernetes
• MLflow / Kubeflow or similar
• Cloud-based ML environments
• SQL and data analytics tools
• Experience in banking, fintech, telecommunications, digital financial services, payments or mobile money will be advantageous.

Advantageous Certifications

• CFE, ACAMS, ICA, FRM, Data Science, Analytics, Model Governance or related certifications.

Ideal Candidate

• We are looking for someone who is analytical, investigative, technically hands-on and fraud-risk aware, with the ability to work across Fraud, Data Science and Technology teams to turn fraud model requirements into working, monitored and production-ready solutions.

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• We are looking for an experienced senior: Fraud & Forensics Data Engineer to join a leading organisation and deliver data engineering solutions that support fraud detection, forensic investigations and financial crime analytics across multiple markets.
• This is a hands-on technical role requiring strong data engineering skills combined with an understanding of fraud and financial crime environments.

Key Responsibilities

• Design, develop, test, deploy and support fraud and financial crime data solutions.
• Translate fraud problem statements and investigation requirements into practical technical solutions.
• Design and develop ETL/ELT pipelines, data models, analytical datasets and data products.
• Implement batch, streaming and event-driven data ingestion solutions.
• Develop fraud-specific data marts, dimensional models, star schemas and analytical views.
• Build reusable data products supporting transaction monitoring, suspicious activity, customer behaviour, merchant/agent patterns and forensic investigations.
• Develop analytical datasets and reporting layers for fraud dashboards, alerts, scorecards and trend analysis.
• Implement data quality checks, validation rules, reconciliation logic and exception handling.
• Troubleshoot data pipeline failures, transformation issues, latency and data-quality problems.
• Support fraud investigation teams with data extracts, investigation packs and pattern-analysis datasets.
• Automate recurring data preparation, monitoring, validation and reporting processes.
• Ensure solutions comply with data governance, security, privacy, audit and regulatory requirements.
• Work closely with Fraud & Forensics, Data, Technology, Risk, Compliance and Information Security teams.
• Provide technical documentation, knowledge transfer and post-deployment support.

Minimum Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering or a related field.
• 5–7+ years' experience in Data Engineering, Data Modelling or Data Architecture.
• Strong hands-on experience with:
• SQL
• Python
• Relational databases such as SQL Server, PostgreSQL or Oracle
• Data modelling across conceptual, logical and physical levels
• Dimensional modelling / Star Schema
• ETL / ELT and data pipeline development
• Experience with cloud data platforms such as:
• Azure Synapse
• Azure Data Factory
• Databricks
• Snowflake
• BigQuery
• Understanding of data warehousing, big-data concepts, data governance, data quality and security.
• Familiarity with Power BI or other BI/reporting tools.

Fraud & Financial Crime Experience

The ideal candidate should have knowledge or experience in areas such as:

• Fraud detection systems and engines
• Fraud rules and alert logic
• Transaction monitoring
• Financial crime and forensic investigations
• Fraud typologies and risk indicators
• Suspicious behaviour/pattern detection
• Case management workflows
• Fraud data requirements and feature definition
• False-positive management and rule tuning
• Digital payments, wallet and mobile money fraud
• Fraud system testing and business validation
• Risk controls, governance and auditability

Advantageous

• Certification or exposure in Fraud Examination, Financial Crime, Data Science, Analytics, Risk Management or Model Governance will be advantageous.

 Ideal Candidate

• We are looking for someone who combines strong hands-on data engineering capability with fraud-domain knowledge. You should be analytical, investigative, detail-oriented and comfortable working with both technical and fraud/forensics stakeholders.

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• We are looking for an experienced BPM / Workflow Software Developer with strong experience in IBM BPM/BAW or Camunda and Java-based software development.

Key Responsibilities

• Translate detailed designs into programming and configuration
• Develop, model and deploy business workflows
• Work with IBM BPM/BAW or Camunda 7/8
• Integrate workflows with custom UIs
• Develop using Java, Spring Boot, REST APIs and microservices
• Integrate and work with Kafka/Confluent
• Identify opportunities for process automation
• Provide technical guidance and mentoring to other developers

Requirements

• 5+ years practical experience in business process analysis
• 5+ years software development experience with:
• Java 11+
• Spring Boot
• REST APIs
• Microservices
• Hands-on experience with IBM BPM/BAW or Camunda 7/8
• Strong knowledge of BPMN/DMN and Camunda Modeler
• Experience with workflow deployment, external task workers and incident handling
• Practical Kafka/Confluent experience
• Experience with Git and Azure DevOps CI/CD pipelines
• Functional and performance testing experience
• Understanding of AI-enabled workflow optimisation and data-driven decision automation
• Banking experience is advantageous

Qualifications & Certifications

Essential:

• Diploma in Computer Science, Information Systems or Software Engineering

Preferred:

• Bachelor's degree in a relevant field

Certifications:

• Camunda Certified Modeler / Developer
• Kafka/Confluent Practitioner
• Azure AZ-900 / AZ-104 / AZ-204