Enterprise Data Management (EDM)
Role Descriptions: Lead functional design sessions and gather business requirements for EDMCS implementations.- Configure and deploy Oracle EDMCS applications| hierarchies| and workflows.- Facilitate data governance processes including change requests| validations| and approvals.- Support metadata integration between EDMCS and downstream systems such as Oracle EPM| ERP Cloud| or external data warehouses.- Provide training| documentation| and post-go-live support for end users.- Collaborate with cross-functional teams including Finance| IT| and Data Governance to align master data strategies.- Develop and maintain hierarchies| dimensions| mapping logic| and data validation rules.Troubleshoot EDMCS functional issues and assist in performance optimization.Working experience with Oracle DRM including integration.
Essential Skills: We are seeking an experienced Oracle Enterprise Data Management Cloud Service (EDMCS) Functional Consultant to support enterprise-wide data governance and master data management initiatives. The candidate should have strong expertise in EDMCS implementation| data modeling| integration| and business process alignment with Oracle EPM or ERP systems. The assignment would have a migration from DRM to EDM.
Desirable Skills:
Keyword:
Responsibilities
Enterprise Data Management (EDM)
Role Descriptions: Lead functional design sessions and gather business requirements for EDMCS implementations.- Configure and deploy Oracle EDMCS applications| hierarchies| and workflows.- Facilitate data governance processes including change requests| validations| and approvals.- Support metadata integration between EDMCS and downstream systems such as Oracle EPM| ERP Cloud| or external data warehouses.- Provide training| documentation| and post-go-live support for end users.- Collaborate with cross-functional teams including Finance| IT| and Data Governance to align master data strategies.- Develop and maintain hierarchies| dimensions| mapping logic| and data validation rules.Troubleshoot EDMCS functional issues and assist in performance optimization.Working experience with Oracle DRM including integration.
Essential Skills: We are seeking an experienced Oracle Enterprise Data Management Cloud Service (EDMCS) Functional Consultant to support enterprise-wide data governance and master data management initiatives. The candidate should have strong expertise in EDMCS implementation| data modeling| integration| and business process alignment with Oracle EPM or ERP systems. The assignment would have a migration from DRM to EDM.
Desirable Skills:
Keyword:
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a highly skilled Data Scientist to join the Machine Learning Model Development & Integration program within Financial Crime Technology.
In this role, you will design, develop, and optimise machine learning models that enhance detection accuracy across Anti Money Laundering (AML), Fraud, Transaction Monitoring, and Customer Behaviour Analytics.
You will collaborate closely with Data Engineers, ML Engineers, SMEs, and Product teams to build models that are accurate, explainable, performant, and compliant with regulatory standards such as PRA SS2/21.
Skills & Experience Required-
Technical Skills
• Strong proficiency in Python, ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow), and statistical modelling.
• Experience building and evaluating models for structured and unstructured data.
• Hands-on familiarity with cloud ML platforms (preferably AWS SageMaker).
• Strong foundations in statistics, probability, and algorithmic understanding.
• Experience with MLOps tools such as MLflow, Weights & Biases, or SageMaker Pipelines (desirable).
• SQL expertise and comfort working with large datasets.
Domain/Platform Skills
• Knowledge of financial crime, AML typologies, KYC, sanctions, or fraud analytics (preferred but not mandatory).
• Understanding of model risk, explainability, fairness, data drift, and model monitoring frameworks.
Soft Skills
• Ability to translate complex technical results into actionable business insights.
Responsibilities
We are looking for a highly skilled Data Scientist to join the Machine Learning Model Development & Integration program within Financial Crime Technology.
In this role, you will design, develop, and optimise machine learning models that enhance detection accuracy across Anti Money Laundering (AML), Fraud, Transaction Monitoring, and Customer Behaviour Analytics.
You will collaborate closely with Data Engineers, ML Engineers, SMEs, and Product teams to build models that are accurate, explainable, performant, and compliant with regulatory standards such as PRA SS2/21.
Skills & Experience Required-
Technical Skills
• Strong proficiency in Python, ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow), and statistical modelling.
• Experience building and evaluating models for structured and unstructured data.
• Hands-on familiarity with cloud ML platforms (preferably AWS SageMaker).
• Strong foundations in statistics, probability, and algorithmic understanding.
• Experience with MLOps tools such as MLflow, Weights & Biases, or SageMaker Pipelines (desirable).
• SQL expertise and comfort working with large datasets.
Domain/Platform Skills
• Knowledge of financial crime, AML typologies, KYC, sanctions, or fraud analytics (preferred but not mandatory).
• Understanding of model risk, explainability, fairness, data drift, and model monitoring frameworks.
Soft Skills
• Ability to translate complex technical results into actionable business insights.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Technical skills-
5–8 years as an SDET/QA Engineer focusing on Python for non‑GUI testing of APIs/services and data workflows.
Strong SQL and data concepts (ETL/ELT, partitioning, schema evolution).
Hands‑on with Jira and Agile practices (Scrum/Kanban).
Git proficiency and GitLab CI awareness (pipelines, runners, artifacts).
Cloud testing/automation experience on AWS and/or GCP.
Nice‑to‑have / Advantage:
Data pipeline testing with Airflow/dbt/Spark/Beam/Kafka.
Data quality tooling (e.g., Great Expectations, Deequ) or equivalent custom checks.
Responsibilities
Technical skills-
5–8 years as an SDET/QA Engineer focusing on Python for non‑GUI testing of APIs/services and data workflows.
Strong SQL and data concepts (ETL/ELT, partitioning, schema evolution).
Hands‑on with Jira and Agile practices (Scrum/Kanban).
Git proficiency and GitLab CI awareness (pipelines, runners, artifacts).
Cloud testing/automation experience on AWS and/or GCP.
Nice‑to‑have / Advantage:
Data pipeline testing with Airflow/dbt/Spark/Beam/Kafka.
Data quality tooling (e.g., Great Expectations, Deequ) or equivalent custom checks.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Quality Automation specialists - Java| Python Selenium| Automation frameworks| AWS cloud working experience
Digital : Data Science~Agile Way of Working~Data Concepts
Role Descriptions: Roles & ResponsibilityCreate and maintain comprehensive data models| mapping Markets data attributes and flowsLead the design and optimization of data structures and databases for Markets data storage and retrieval together with our IT ArchitectsWork closely with DevOps engineers to provide requirements for the build of the data platform| implement| and validate data models| ensuring data accuracy and availabilityClosely collaborate with the product owner and team to translate requirements into Product Backlog ItemsCreate and maintain documentation of data models| data lineage| and metadata for Markets dataServe as a subject matter expert in data sourcing| integration| distribution| and utilizationSkillsGood communication and interpersonal skills to collaborate effectively with cross-functional teamsAnalytical mindset to interpret complex dataDetail-oriented approach to data modelling and analysisCollaboration with cross-functional teams for data mapping and improvementsAdaptability to evolving data requirements and industry changesEthical judgment and responsibility when handling sensitive dataFluent in English| both verbal and written| and open to cultural differenceEducation & experienceBachelors degree in Computer Science| Data Science| Finance| Econometrics or a related field. Masters degree is preferredProven experience in conceptual| logical and physical data modelling and business analysis| particularly within the banking sector and Markets Data DomainUnderstanding of the financial markets products and processesProven experience in data governance policies & proceduresProficiency in data modelling tools and techniques| including experience with data modelling software (such as Erwin and Enterprise Architect)Strong SQL skills for querying our dataFamiliarity with regulatory requirements related to data is a plusGeneral understanding of IT topics (through technical background or job experience
Essential Skills: Roles & ResponsibilityCreate and maintain comprehensive data models| mapping Markets data attributes and flowsLead the design and optimization of data structures and databases for Markets data storage and retrieval together with our IT ArchitectsWork closely with DevOps engineers to provide requirements for the build of the data platform| implement| and validate data models| ensuring data accuracy and availabilityClosely collaborate with the product owner and team to translate requirements into Product Backlog ItemsCreate and maintain documentation of data models| data lineage| and metadata for Markets dataServe as a subject matter expert in data sourcing| integration| distribution| and utilizationSkillsGood communication and interpersonal skills to collaborate effectively with cross-functional teamsAnalytical mindset to interpret complex dataDetail-oriented approach to data modelling and analysisCollaboration with cross-functional teams for data mapping and improvementsAdaptability to evolving data requirements and industry changesEthical judgment and responsibility when handling sensitive dataFluent in English| both verbal and written| and open to cultural differenceEducation & experienceBachelors degree in Computer Science| Data Science| Finance| Econometrics or a related field. Masters degree is preferredProven experience in conceptual| logical and physical data modelling and business analysis| particularly within the banking sector and Markets Data DomainUnderstanding of the financial markets products and processesProven experience in data governance policies & proceduresProficiency in data modelling tools and techniques| including experience with data modelling software (such as Erwin and Enterprise Architect)Strong SQL skills for querying our dataFamiliarity with regulatory requirements related to data is a plusGeneral understanding of IT topics (through technical background or job exp
Responsibilities
Role Descriptions: Roles & ResponsibilityCreate and maintain comprehensive data models| mapping Markets data attributes and flowsLead the design and optimization of data structures and databases for Markets data storage and retrieval together with our IT ArchitectsWork closely with DevOps engineers to provide requirements for the build of the data platform| implement| and validate data models| ensuring data accuracy and availabilityClosely collaborate with the product owner and team to translate requirements into Product Backlog ItemsCreate and maintain documentation of data models| data lineage| and metadata for Markets dataServe as a subject matter expert in data sourcing| integration| distribution| and utilizationSkillsGood communication and interpersonal skills to collaborate effectively with cross-functional teamsAnalytical mindset to interpret complex dataDetail-oriented approach to data modelling and analysisCollaboration with cross-functional teams for data mapping and improvementsAdaptability to evolving data requirements and industry changesEthical judgment and responsibility when handling sensitive dataFluent in English| both verbal and written| and open to cultural differenceEducation & experienceBachelors degree in Computer Science| Data Science| Finance| Econometrics or a related field. Masters degree is preferredProven experience in conceptual| logical and physical data modelling and business analysis| particularly within the banking sector and Markets Data DomainUnderstanding of the financial markets products and processesProven experience in data governance policies & proceduresProficiency in data modelling tools and techniques| including experience with data modelling software (such as Erwin and Enterprise Architect)Strong SQL skills for querying our dataFamiliarity with regulatory requirements related to data is a plusGeneral understanding of IT topics (through technical background or job experience
Essential Skills: Roles & ResponsibilityCreate and maintain comprehensive data models| mapping Markets data attributes and flowsLead the design and optimization of data structures and databases for Markets data storage and retrieval together with our IT ArchitectsWork closely with DevOps engineers to provide requirements for the build of the data platform| implement| and validate data models| ensuring data accuracy and availabilityClosely collaborate with the product owner and team to translate requirements into Product Backlog ItemsCreate and maintain documentation of data models| data lineage| and metadata for Markets dataServe as a subject matter expert in data sourcing| integration| distribution| and utilizationSkillsGood communication and interpersonal skills to collaborate effectively with cross-functional teamsAnalytical mindset to interpret complex dataDetail-oriented approach to data modelling and analysisCollaboration with cross-functional teams for data mapping and improvementsAdaptability to evolving data requirements and industry changesEthical judgment and responsibility when handling sensitive dataFluent in English| both verbal and written| and open to cultural differenceEducation & experienceBachelors degree in Computer Science| Data Science| Finance| Econometrics or a related field. Masters degree is preferredProven experience in conceptual| logical and physical data modelling and business analysis| particularly within the banking sector and Markets Data DomainUnderstanding of the financial markets products and processesProven experience in data governance policies & proceduresProficiency in data modelling tools and techniques| including experience with data modelling software (such as Erwin and Enterprise Architect)Strong SQL skills for querying our dataFamiliarity with regulatory requirements related to data is a plusGeneral understanding of IT topics (through technical background or job exp
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Data Science~Agile Way of Working~Data Concepts
We are seeking a skilled Senior SAP IBP Consultant to join our dynamic team.
• We are seeking a highly skilled Software Development Specialist with a strong focus on SAP Integrated Business Planning (IBP) Demand Functional knowledge.
• The ideal candidate will have 8- 10 years of experience in software development, with a proven track record of delivering high quality solutions in a fast paced environment.
• This role requires a deep understanding of demand planning processes and the ability to translate business requirements into technical specifications. Responsibilities:
• Collaborate with cross functional teams to gather and analyze business requirements related to demand planning.
• Design, develop, and implement software solutions that enhance SAP IBP Demand functionalities. Conduct thorough testing and validation of software applications to ensure they meet business needs and quality standards.
Responsibilities
We are seeking a skilled Senior SAP IBP Consultant to join our dynamic team.
• We are seeking a highly skilled Software Development Specialist with a strong focus on SAP Integrated Business Planning (IBP) Demand Functional knowledge.
• The ideal candidate will have 8- 10 years of experience in software development, with a proven track record of delivering high quality solutions in a fast paced environment.
• This role requires a deep understanding of demand planning processes and the ability to translate business requirements into technical specifications. Responsibilities:
• Collaborate with cross functional teams to gather and analyze business requirements related to demand planning.
• Design, develop, and implement software solutions that enhance SAP IBP Demand functionalities. Conduct thorough testing and validation of software applications to ensure they meet business needs and quality standards.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Bachelor's degree in Supply Chain, Engineering, Operations, or related field
Hands-on experience with Kinaxis RapidResponse (configuration, data workbooks, scenario modeling)
Strong understanding of supply chain planning concepts: demand planning, MRP, S&OP, inventory optimization
Responsibilities
Bachelor's degree in Supply Chain, Engineering, Operations, or related field
Hands-on experience with Kinaxis RapidResponse (configuration, data workbooks, scenario modeling)
Strong understanding of supply chain planning concepts: demand planning, MRP, S&OP, inventory optimization
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
