Jobs at Accenture

Job Description

OVERALL PURPOSE OF JOB:

• To design, program and test programs (new or modifications to existing applications within the BAS Architecture)
• To provide production support for a specific application or group of applications
• To ensure data integrity and fix data integrity through data fixes, On-line account headers and account header batch runs.

MAIN RESPONSIBILITIES/TASKS:

• Providing production support for a specific application or group of applications.  Activities include code problem analysis, fixing, testing and releasing to the production environment according to SLA’s
• Ensuring that all change control documentation is completed and signed off prior to releasing the code to the production environment.
• Analyzing, coding and testing simple to moderate modules (both new and changes to existing programs) from design specifications. 
• Ensuring the finished product meets the design objectives and any other appropriate criteria associated with the original request. 
• Ensuring that a minimal number of SIRS are logged against the task in the testing environments. 
• Ensuring that there are no comebacks once the code has been released into the production environment.
• Investigating and resolving comebacks.
• Producing complete and accurate documentation for work based on current documentation standards.
• Supporting the testing team when the new / changed code is being tested.
• Identify and resolve data integrity issues.  This includes fixing the data correctly the first time.
• Completing data fix documentation and ensuring that when the documentation is signed off the data has been corrected according to the data fix documentation.
• Ensuring a good understanding of the task / datafix at hand.
• Ensuring correctness of own work prior to reporting on completion to the supervisor.
• Displaying a moderate proficiency level of the programming languages and tools used in their area (C# and/or  COBOL,  and SQL OR .Net/ Java /Phython / CSharp and is willing to also obtain skill in COBOL and FCP [Foundation for Cooperative Processing]).
• Assisting with the data preparation for implementation of new departments.
• Understands overall team workload and focus ensuring assistance is provided to fellow team members where possible.
• Conduct project and issue management (status reporting, ETC/budget reporting) for assigned scope of work.
• Informal daily feedback on status of tasks assigned to the individual.
• Working effectively as part of a team and seeks to support the team’s goals.
• Broadening own technical, functional and industry skill base (Microsof office).
• Provide a quality service to the client.
• Understand client’s business needs.
• Prioritise own workload.

Qualifications

KNOWLEDGE AND SKILLS:

Knowledge of the technical environment (i.e. products used by Application Maintenance) namely:

• IBM Mainframe / MVS / CICS / JCL
• WINDOWS OS
• COBOL
• C or C#
• MS Office
• FTP
• SQL

OR .

• Net/ Java /Phython / CSharp and is willing to also obtain skill in COBOL and FCP [Foundation for Cooperative Processing]
• Good verbal and written communication skills

EDUCATION, QUALIFICATIONS, EXPERIENCE NECESSARY:

• Appropriate and recognised formal IT training
• Minimum 2 years development experience

Equal Employment Opportunity Statement

• Basic working knowledge of one medium / large sized functional area (alternately basic working knowledge of multiple small functional areas).
• Reporting weekly turnarounds to supervisor by 8:30 on Monday mornings.

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Job Description

THE WORK:

• Facilitating client process walkthroughs to understand business processes and alignment with solution functionality.
• Acting in a client facing role to determine business requirements.
• Identifying how the HCM solution can be best utilized to meet client requirements.
• Providing support to the interface workstream to understand business scenarios and integration between the solution and other applications.
• Supporting configuration, testing, training, data migration and change management workstreams.
• Project management or team lead of large SuccessFactors implementation
• Be the design lead of SuccessFactors implementations for the modules in your expertise.
• Shape SuccessFactors solutions to help our clients solve complex situations.
• Deliver also advisory services in broader technology-enabled business change (integrator selection, vendor selection, application studies, solution architecture, or program diagnostics and recovery).
• Deliver advisory services to the most innovative client organizations.
• Building and maintaining client relationships Qualifications.

Qualifications

• SuccessFactors Certified in 2 to 3 Modules
• Degree or Diploma in IT

What skills & experience are we looking for?

• +5 Year experience in complex SuccessFactors/SAP HR Implementations.
• +3 Experience in designing and/or implementing SuccessFactors (in lead roles).
• Certified in one or more SuccessFactors modules.
• Strong communication and leading skills.
• Understanding of Human Resource Business Processes.

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Job Description

• We are seeking a highly skilled Machine Learning & Data Analytics Specialist to design and implement data-driven solutions that drive business insights and innovation. This role requires deep expertise in statistical and mathematical modeling, as well as experience in applying machine learning and analytical tools. The successful candidate will be responsible for developing proprietary analytical methodologies and identifying data-based opportunities to optimize business processes.

Key Responsibilities

• Design and Implement Analytical Solutions: Develop machine learning and analytics-driven solutions tailored to business needs and objectives.
• Apply Advanced Statistical and Mathematical Knowledge: Use deep statistical and mathematical insights, tools, and methodologies to extract and communicate valuable insights from data.
• Develop Intellectual Property: Create proprietary methodologies involving analytics, mathematical modeling, or optimization techniques that enhance organizational knowledge and capabilities.
• Identify and Drive Opportunities for Process Improvement: Leverage data to identify improvement areas within business processes and deliver targeted programs to realize these enhancements.

Educational Qualifications

• Minimum: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Preferred: Master’s or Ph.D. in Data Science, Machine Learning, Statistics, or a similar advanced field.

Required Skills and Experience

• Machine Learning: Proficiency in supervised and unsupervised machine learning techniques, with hands-on experience in model development and deployment.
• Statistical and Mathematical Proficiency: Strong foundation in statistics, probability, and mathematical modeling, with the ability to apply these principles to complex datasets.
• Programming Skills: Proficiency in Python, R, or a similar programming language, including experience with libraries such as TensorFlow, PyTorch, or scikit-learn.
• Data Manipulation and Analysis: Skilled in working with large datasets and data wrangling techniques; experience with SQL, Spark, or similar tools is preferred.
• Business Acumen: Understanding of business processes and the ability to identify data-driven opportunities for process enhancement.
• Communication and Collaboration: Strong written and verbal communication skills, with the ability to work collaboratively across teams and clearly present complex findings to non-technical stakeholders.

Preferred Skills

• Experience in Intellectual Property Development: Prior experience developing proprietary algorithms, methodologies, or optimizations that have been successfully integrated into business processes.
• Project Management: Ability to lead or participate in data projects with cross-functional teams, ensuring successful delivery within timelines.

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Job Description

• We are looking for a motivated and experienced Risk Management Specialist to join our dynamic team. This role is perfect for a proactive, team-oriented individual with advanced expertise in Risk Management, a collaborative mindset, and a strategic approach to mitigating risks across the organization. You will be instrumental in identifying, assessing, and addressing risks while working closely with multiple teams to drive effective solutions and promote risk-aware practices.

Key Responsibilities

Risk Identification and Assessment:

• Identify and assess potential risks that could impact the organization’s operations, performance, and reputation.
• Regularly review and update risk assessments to maintain alignment with organizational goals and risk tolerance.

Risk Management Strategy Development:

• Develop an integrated approach to risk management, establishing strategies to monitor, reduce, and manage risks effectively.
• Collaborate with various teams to ensure risk management strategies are effectively implemented and sustained.

Performance Analysis and Compliance:

• Analyze performance metrics to ensure consistent adherence to established risk procedures and organizational guidelines.
• Provide recommendations based on performance analysis to improve compliance and strengthen risk management.

Certification Program Coordination:

• Manage and coordinate certification programs related to risk and compliance, ensuring that all required standards and certifications are met.
• Work with internal teams to prepare for certifications and maintain compliance.

Implementation of Best Practices:

• Implement industry-leading risk management practices to enhance operational resilience and risk mitigation efforts.
• Advise on and deploy best practices to streamline processes, improve efficiency, and foster a culture of risk awareness.

Qualifications

• Associate degree in a related field.
• Minimum of 5 years of experience in Risk Management or a relevant field.
• Advanced proficiency in Risk Management, with a demonstrated ability to develop and implement risk strategies

Core Skills:

• Risk Management: Expertise in identifying, assessing, and managing risks effectively within an organization.
• Analytical Abilities: Strong analytical skills to interpret data, assess risks, and provide actionable recommendations.
• Decision-Making: Ability to make informed and strategic decisions that address cross-functional risks and challenges.
• Communication & Collaboration: Excellent communication skills to work collaboratively across teams and convey complex risk issues in a clear, understandable way.
• Problem-Solving: Skilled in identifying the root causes of issues and developing solutions that support long-term risk management.

Bonus Skills:

• Compliance Management: Intermediate proficiency in compliance practices to support regulatory adherence and risk alignment.
• Data Analysis: Expertise in data analysis to enhance risk assessment accuracy and depth.
• Project Management: Foundational knowledge of project management principles to organize and manage risk-related initiatives effectively.