Junior Test Automation Engineer jobs at Ey in Cyprus, Nicosia
EY Experienced Junior/Senior - Financial Due Diligence Cyprus, Nicosia
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Your key Responsibilities
- Help clients achieve their strategic goals, whether they are acquiring or divesting assets.
- Advise clients during the due diligence process to identify key value drivers and challenge assumptions about future performance
- Work with other EY service teams to deliver an integrated service to our clients.
- Likely to also work on a number of cross border assignments working with other EY offices around the world
Skills and attributes for success
- Prepare analyses of historical and pro forma financial information to assess trends and fluctuations that may impact cash flow requirements and deal valuation
- Assist in preparing reports and schedules that will be delivered to clients and other parties
- Develop and maintain productive working relationships with client personnel
To qualify for the role, you should have
- Commercial awareness and experience in conducting financial due diligence
- Understanding of the components of EBITDA, working capital and net debt and be able to apply your due diligence findings on them.
- Demonstrate ability to effectively evaluate a company's financial and operational performance, and to identify associated transaction risks, issues and red flags.
- Have or working towards an ACA, ACCA or equivalent professional qualification or relevant University degree
- Be an excellent communicator, both oral and written
- Have a proficiency in data analysis tools (e.g., Excel) to manage and analyse data effectively
- Be an effective time manager, able to keep calm when under pressure to meet deadlines
- Be a team player with the ability to build effective relationships at all levels
In addition, our benefits include among others:
- 13th salary
- Provident Fund
- Private Medical and Life Insurance
- Flexible working arrangements (hybrid work and flexible work schedule)
- Friday afternoon off
- EY Tech MBA and EY MSc in Business Analytics
- EY Badges - digital learning certificates
- Mobility programs (if interested to work abroad)
- Paid Sick Leave
- Paid Paternity Leave
- Yearly wellbeing days off
- Maternity, Wedding and New Baby Gifts
- EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
This position may require travel, as necessary.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
These jobs might be a good fit
EY Data Engineer Cyprus, Nicosia
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Key Responsibilities
Own the design, development, and maintenance of scalable data pipelines and architectures
Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions
Implement and monitor data quality, data validation, and data governance processes
Mentor junior engineers and participate in code reviews to ensure high standards
Architect, document, and optimise end-to-end data flows in alignment with best practises
Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Skills and Attributes for Success
Bachelor’s and/or master's degree in computer science, engineering, mathematics, or another relevant subject
3+ years of experience, able to lead projects and mentor others
Experience with data modelling, design patterns, and building highly scalable and secure data solutions and infrastructure.
Knowledge of data warehouses, data marts and general data model techniques (Fact and Dimensional tables, Slowly Changing Dimensions)
Familiar with big data and cloud analytics platforms (e.g., Databricks, Snowflake, Google BigQuery, Apache Spark, Hadoop)
Experience with ETL tools (e.g. Matillion, SSIS, dbt)
Strong proficiency in SQL and relational databases such as MS SQL, DB2, Oracle, MySQL
Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
You have effective communication and presentation skills
It will be a plus if you have
Experience CI/CD for data pipelines
Experience in cloud platforms (Microsoft Azure, AWS, Google Cloud Platform)
Experience with orchestration tools (e.g., Airflow, Azure Data Factory)
Experience with enterprise data governance tools such as Microsoft Purview, Collibra, Informatica, or similar
Strong business understanding of the financial sector (Banking, Insurance)
You have experience with lean/agile software development
What we offer
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Building a better working world
These jobs might be a good fit
EY AI Engineer Hybrid Cyprus, Nicosia
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Key Responsibilities
Contribute to the design and implementation of state-of-the-art AI solutions.
Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
Collaborate with stakeholders to identify business opportunities and define AI project goals.
Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
Ensure compliance with data privacy, security, and ethical considerations in AI applications.
Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
Skills and Attributes for Success
Bachelor’s and/or Master's degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University.
Minimum 3 years of experience in Data Science and Machine Learning.
In-depth knowledge of machine learning, deep learning, and generative AI techniques.
Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
Familiarity with computer vision techniques for image recognition, object detection, or image generation.
Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
Expertise in data engineering, including data curation, cleaning, and preprocessing.
Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
Understanding of data privacy, security, and ethical considerations in AI applications.
Track record of driving innovation and staying updated with the latest AI research and advancements.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
It will be a plus if you have
Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
Implement CI/CD pipelines for streamlined model deployment and scaling processes.
Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
Implement monitoring and logging tools to ensure AI model performance and reliability.
Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
You have experience with lean/agile software development.
EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:
13th salary and yearly bonus
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
Apply Now.
These jobs might be a good fit
EY Junior Test Automation Engineer Cyprus, Nicosia
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Junior Test Automation Engineer
Your key responsibilities
Collaborate effectively with cross-functional teams, including both technical and non-technical stakeholders.
Design comprehensive test plans based on project requirements and specifications.
Develop and execute detailed test cases covering both functional and non-functional requirements.
Create and maintain automated test scripts for web and mobile applications.
Design and implement performance testing scripts to assess system scalability and reliability.
Use defect tracking tools to log, monitor, and manage reported issues.
Document and report defects clearly, including detailed steps to reproduce and relevant logs or screenshots.
Maintain up-to-date test documentation, including test cases, test plans, and test results.
Ensure clear and consistent communication with all stakeholders throughout the testing lifecycle.
Skills and attributes for success
1–3 years of hands-on experience in test automation.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (preferred).
Proficiency with automated testing tools and frameworks such as Katalon (LowCode), Selenium / Playwright (Web), Appium (Mobile), Rest Assured (API), TestNG, Junit, etc.
Skilled manual tester using e.g. Chrome DevTools and Postman.
Strong experience in developing automated test scripts using frameworks and languages like Java, JavaScript, Python.
Strong interest in shift-left testing and AI.
Familiarity with bug/defect tracking tools (e.g., Azure DevOps).
Experience with version control systems such as Git.
Solid understanding of the software development lifecycle (SDLC).
Strong problem-solving skills and the ability to troubleshoot technical issues independently.
Excellent command of English, both written and spoken.
Ability to work in a dynamic environment and have excellent organizational, interpersonal, written, and verbal communication skills
Self-driven and flexible, can work autonomously with a proven work ethic
Team player who enjoys working with people from different backgrounds and disciplines
Hard working professional with ability to work under pressure
Able to exhibit a high level of confidentiality
It will be a plus if you have:
Experience integrating automated tests into CI/CD pipelines for continuous testing.
Relevant industry certifications in software testing or automation (e.g., ISTQB, Certified Selenium Professional).
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Building a better working world
These jobs might be a good fit
EY Data Quality Engineer Cyprus, Nicosia
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Your key responsibilities
Data Profiling & Analysis
Execute comprehensive data profiling on source systems to identify data quality issues, patterns, and anomalies
Analyze large-scale datasets (millions of records) using statistical techniques for distributions, null rates, and outliers
Profile customer data to support deduplication and data matching requirements
Document data quality findings and contribute to baseline metrics reporting
Conduct cross-system data comparison to identify overlaps, conflicts, and data inconsistencies
Perform root cause analysis for data quality failures using systematic methodologies
Create Pareto charts and defect distribution analysis to support prioritization of remediation efforts
Data Quality Rules & Validation
Implement and maintain data quality rules across multiple business domains based on defined requirements
Develop validation logic for business-specific rules including calculations, limits, and regulatory requirements
Configure referential integrity checks across related data entities
Build lookup validation rules to prevent mapping and definition mismatches
Execute attribute-level validation to support high success rates with regression detection
Test and validate data quality rules in development and test environments before production deployment
Data Cleansing & Transformation
Implement data cleansing rules for standardization, normalization, and enrichment based on specifications
Apply address standardization and validation rules using industry-standard references
Execute name parsing and normalization processes for improved data matching accuracy
Support engineering teams with ETL transformation logic and data mapping validation
Implement data quality checkpoints within data pipelines (pre-transformation, post-transformation, pre-load)
Validate that exception handling and error routing mechanisms work correctly for data quality failures
Support customer deduplication processes with data quality validation for matching and merge operations
Data Quality Monitoring & Reporting
Execute real-time data quality monitoring across all data processing stages
Develop and maintain automated workflows for continuous data quality validation using orchestration tools
Configure alerting mechanisms for data quality threshold violations and degradation patterns
Build and maintain data quality dashboards using PowerBI or Tableau for stakeholder visibility
Track comprehensive data quality metrics including attribute success rates, volumetric reconciliation, and financial accuracy
Create technical dashboards with drill-down capabilities for root cause investigation
Contribute totrend analysis visualizations to support regression pattern detection
Documentation & Data Lineage
Document data quality test cases, validation procedures, and testing results
Maintain data quality runbooks for issue resolution and troubleshooting
Support data lineage documentation showing transformation points and validation checkpoints
Contribute to data quality assessment reports for stakeholder review
Update lessons learned repository with data quality insights from testing activities
Maintain up-to-date documentation of data quality rules, validation logic, and test coverage
Collaboration & Stakeholder Management
Collaborate with test automation engineers on data validation strategies
Work closely with data architects and ETL developers to understand data flows and transformation logic
Partner with business analysts to translate business requirements into data quality validation rules
Participate in defect triage meetings and provide data quality analysis
Present data quality findings to technical and business stakeholders
Support UAT activities by providing data quality insights to business subject matter experts
Ensure clear and consistent communication with all stakeholders throughout the data quality lifecycle
Skills and attributes for success
Experience & Education
4-7 years of hands-on experience in data quality engineering or data analysis
Experience in large-scale data migration programs with millions of records
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field (preferred)
Data Quality Expertise
Strong understanding of data quality dimensions: completeness, accuracy, consistency, validity, timeliness, uniqueness
Experience designing and implementing data quality frameworks and validation rules
Proficiency in data profiling techniques and statistical analysis
Knowledge of data cleansing, standardization, and normalization methodologies
Experience with data reconciliation frameworks (volumetric, financial, attribute-level)
Technical Skills
Advanced SQL skills for complex data validation queries across multiple databases
Proficiency in Python for data quality automation such as pandas, PyTest, sqlalchemy
Experience with data quality tools such as Great Expectations, PyDeequ, or enterprise DQ platforms (e.g. Informatica, Talend)
Knowledge of data warehouse platforms such as Snowflake, Databricks, Redshift
Experience with cloud technologies such as AWS, Azure, GCP for data processing
Familiarity with ETL/ELT tools (AWS Glue, Apache Airflow, Databricks)
Version control with Git and CI/CD pipeline integration
Data Analysis & Visualization
Experience creating dashboards and visualizations using PowerBI, Tableau, or similar tools
Strong analytical skills to identify patterns, trends, and anomalies in large datasets
Ability to perform statistical analysis and create meaningful metrics and KPIs
Experience with data visualization best practices for technical and executive audiences
Methodologies & Processes
Solid understanding of the software development lifecycle (SDLC) and Agile methodologies
Experience with data governance principles and frameworks
Knowledge of regulatory compliance requirements (e.g. data protection standards)
Root cause analysis and problem-solving methodologies
Strong interest in continuous improvement and lessons learned application
Soft Skills & Work Style
Strong problem-solving skills and attention to detail
Excellent command of English, both written and spoken
Ability to communicate complex technical concepts to non-technical stakeholders
Self-driven and flexible, can work autonomously with proven work ethic
Team player who enjoys working with people from different backgrounds and disciplines
Ability to work in a dynamic environment with excellent organizational and time management skills
Able to exhibit a high level of confidentiality
It will be a plus if you have:
Domain Knowledge
Experience in financial services, insurance, banking, or highly regulated industries
Understanding of insurance policy lifecycle and claims workflows
Knowledge of customer data management and master data management (MDM) principles
Familiarity with regulatory requirements (e.g. PCI-DSS)
Advanced Technical Capabilities
Experience with PySpark for large-scale data processing
Knowledge of machine learning techniques for data quality improvement (anomaly detection, predictive quality)
Experience with Docker and Kubernetes for containerized data quality processes
Familiarity with data masking, anonymization, and synthetic data generation
Knowledge of Infrastructure as Code tools (Terraform, CloudFormation)
Data Quality Tools & Platforms
Hands-on experience with enterprise data quality platforms (e.g. Informatica DQ, Talend)
Experience with open-source data quality frameworks (e.g. Great Expectations, Deequ, Soda)
Knowledge of data catalog tools (e.g. Collibra, Alation, Apache Atlas)
Experience with data observability platforms (e.g. Monte Carlo, Datadog)
Migration & Transformation Experience
Previous involvement in large-scale data migration programs (1M+ records)
Experience with merger and acquisition data integration projects
Understanding of customer deduplication and entity resolution challenges
Knowledge of legacy system modernization and cloud migration patterns
Data quality or data management certifications suchasCDMP, DGSP
Cloud certifications suchasAWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer
Snowflake or Databricks certifications
ISTQB or software testing certifications
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
These jobs might be a good fit
EY Software Engineer C Programming Cyprus, Nicosia
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who will play a crucial role in driving digital transformation solutions for our clients.
Your key responsibilities of the role :
Design, develop, and maintain high-quality software applications using the C programming language, specifically for core banking systems.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Perform code reviews and provide constructive feedback to ensure adherence to best practices and coding standards.
Participate in the full software development lifecycle, including planning, development, testing, deployment, and maintenance.
Contribute to the documentation of software designs, processes, and technical specifications.
Assist in the integration of third-party services and APIs into existing systems, including low-level communication protocols, message queues, or middleware interfaces.Ensure code is optimized for high availability and low latency, critical in financial transaction processing.
Troubleshoot and debug applications to resolve issues and optimize performance.
Stay updated with the latest industry trends and technologies to enhance development processes and methodologies.
To qualify for the role, you must demonstrate the following skills and experience:
Proficiency in C programming language with a strong understanding of data structures and algorithms.
A degree in Computer Science, Software Engineering, or a related field is preferred.
Experience in developing applications for core banking systems or financial services is highly desirable.
Familiarity with software development methodologies (Agile, Scrum, etc.) and version control systems (e.g., Git).
Understanding of secure coding practices and compliance requirements in financial software.
Knowledge of database management systems (e.g., SQL, Oracle) and experience with writing efficient queries.Strong analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
Relevant certifications (e.g., C programming, software development) are a plus.
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Building a better working world
These jobs might be a good fit
EY Test Automation Engineer - Katalon Specialist Cyprus, Nicosia
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Your key responsibilities:
As a Test Automation Engineer - Katalon Specialist, you will be responsible for designing, implementing, and maintaining automated testing solutions across our client engagements. Your role will span the entire automation lifecycle from framework design to CI/CD integration and test orchestration.
Test Automation Framework Development
Design and implement automated test frameworks using Katalon Studio as the primary automation platform
Develop and maintain test scripts for Web, Mobile, and API testing
Implement data-driven and keyword-driven testing approaches within Katalon
CI/CD & DevOps Integration
Configure and manage test execution through Katalon Runtime Engine for CI/CD pipeline integration
Collaborate with DevOps teams to integrate Katalon tests with Git and CI/CD pipelines
Work independently to configure Katalon projects with version control systems (Git/GitLab)
Test Orchestration & Cloud Execution
Set up and maintain automated test scheduling through Katalon TestOps for test orchestration and reporting
Configure cloud-based test execution using Katalon TestCloud for cross-browser and cross-platform testing
Test Planning & Quality Assurance
Contribute to test strategy, planning, and execution across project lifecycles
Develop and execute detailed test cases covering both functional and non-functional requirements
Use defect tracking tools (Azure DevOps, Jira) to log, monitor, and manage reported issues
Document and report defects clearly, including detailed steps to reproduce and relevant logs or screenshots
Documentation & Stakeholder Communication
Maintain up-to-date test documentation, including test cases, test plans, and test results
Ensure clear and consistent communication with all stakeholders throughout the testing lifecycle
Collaborate effectively with cross-functional teams, including both technical and non-technical stakeholders
Skills and attributes for success:
Experience & Education
2-4 years of hands-on experience in test automation
Minimum 6 months of practical experience with Katalon Studio for test automation
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred)
Katalon Studio Expertise
Proficiency with Katalon Studio for creating and maintaining test scripts (Web, Mobile, API)
Strong understanding of Katalon's architecture including Test Objects, Keywords, and Data Files
Understanding of Groovy scripting within Katalon context
Programming & Automation Skills
Strong experience in developing automated test scripts using at least one programming language (Java, JavaScript, or Python)
Experience with additional automation tools: Selenium WebDriver, Playwright, RestAssured, TestNG, JUnit
Skilled manual tester using Chrome DevTools and Postman for API testing
Version Control & Integration
Experience with Git version control and repository management
Ability to work independently in configuring Katalon projects with Git/GitLab integration
Testing Methodologies & Tools
Experience with bug/defect tracking tools (Azure DevOps, Jira)
Solid understanding of the software development lifecycle (SDLC) and Agile methodologies
Strong interest in shift-left testing and AI-powered testing approaches
Soft Skills & Work Style
Strong problem-solving skills and ability to troubleshoot technical issues independently
Excellent command of English, both written and spoken
Self-driven and flexible, can work autonomously with proven work ethic
Team player who enjoys working with people from different backgrounds and disciplines
It will be a plus if you have:
Advanced Katalon Features
Familiarity with Katalon's Smart Wait, Self-Healing mechanisms, and AI-powered features
Knowledge of TestCloud tunnel configuration for private/local testing
Understanding of Katalon's integration with test management platforms (e.g., Xray, Zephyr, TestRail)
Specialized Testing Approaches
Knowledge of BDD/Cucumber integration with Katalon
Experience with mobile testing using Appium through Katalon
Experience with performance testing using Katalon or JMeter
Advanced CI/CD Integration
Experience integrating Katalon with CI/CD pipelines using Docker containers
Hands-on experience with Jenkins, GitLab CI, or Azure DevOps pipelines for test automation
Certifications
Relevant industry certifications in software testing or automation (e.g., ISTQB, Katalon certification)
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
These jobs might be a good fit
Share
Your key Responsibilities
- Help clients achieve their strategic goals, whether they are acquiring or divesting assets.
- Advise clients during the due diligence process to identify key value drivers and challenge assumptions about future performance
- Work with other EY service teams to deliver an integrated service to our clients.
- Likely to also work on a number of cross border assignments working with other EY offices around the world
Skills and attributes for success
- Prepare analyses of historical and pro forma financial information to assess trends and fluctuations that may impact cash flow requirements and deal valuation
- Assist in preparing reports and schedules that will be delivered to clients and other parties
- Develop and maintain productive working relationships with client personnel
To qualify for the role, you should have
- Commercial awareness and experience in conducting financial due diligence
- Understanding of the components of EBITDA, working capital and net debt and be able to apply your due diligence findings on them.
- Demonstrate ability to effectively evaluate a company's financial and operational performance, and to identify associated transaction risks, issues and red flags.
- Have or working towards an ACA, ACCA or equivalent professional qualification or relevant University degree
- Be an excellent communicator, both oral and written
- Have a proficiency in data analysis tools (e.g., Excel) to manage and analyse data effectively
- Be an effective time manager, able to keep calm when under pressure to meet deadlines
- Be a team player with the ability to build effective relationships at all levels
In addition, our benefits include among others:
- 13th salary
- Provident Fund
- Private Medical and Life Insurance
- Flexible working arrangements (hybrid work and flexible work schedule)
- Friday afternoon off
- EY Tech MBA and EY MSc in Business Analytics
- EY Badges - digital learning certificates
- Mobility programs (if interested to work abroad)
- Paid Sick Leave
- Paid Paternity Leave
- Yearly wellbeing days off
- Maternity, Wedding and New Baby Gifts
- EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
This position may require travel, as necessary.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
These jobs might be a good fit
