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Growth in Value Alliance (GV Alliance) Partners is a business advisory and market intelligence services firm. Our objectives are to assist organizations to achieve their growth aspirations by providing market intelligence, strategy blueprint, IT solution delivery expertise and business operation improvement capabilities. GVA Partners is also a l...
Responsibilities:
Coordinate with product management and software and support engineers to deliver stable enterprise software products
Establish test strategy and manual and automated test suites.
Develop and configure test automation networks and execute stability and performance tests
Develop and execute test automation through Test Complete
Develop and execute Performance test through LoadNinja
Apply, design and develop automated testing strategies and build automated testing frameworks Help desk management/ provision of first level support to users
Involve in product design to guarantee adherence of test coverage for meeting end user requirements
Record test results and report and verify software bug fixes to accept automation criteria.
Analyze performance test requirements and develop test plans and debug to understand test objective requirements.
Handle performance testing and present results for validating and analysis to Project Teams
Prepare software defect tracking and report entire project release status to stakeholders
Ensure the timely resolution of user issues
Orderly escalation of faults to 2nd and 3rd level support
Provide management with weekly and monthly statistical reports
Perform other duties as assigned by Team Lead, QA, Testing and Test Automation
Maintain good communication, reporting and interaction with stakeholders
Keys Qualifications and Skills:
BSc in STEM
Minimum of 3 - 5 years cognate IT experience, 2 years of which must be in Test Automation & Performance Testing
Instinct for analytics and logical application of concepts
Understanding of basic programming languages e.g Python
Must have sound knowledge and experience of functional testing performed manually.
Expertise in creation of test scripts
Possess good knowledge on Automated testing tools
Well versed with agile, DevOps and continuous delivery
Responsibilities:
Assisting lead engineers with all aspects of software design and coding.
Attending and contributing to software delivery meetings.
Learning the codebase and improving your coding skills.
Writing and maintaining code.
Working on minor bug fixes.
Monitoring the technical performance of internal systems.
Gathering information from consumers about program functionality.
Writing reports.
Conducting development tests.
Perform other duties as assigned by Lead Software Engineer.
Keys Qualifications and Skills:
Bachelor’s degree in Information Technology, Computer Science, or a related quantitative discipline
2 - 6 years’ experience in programming languages (e.g., Python, Javascript, Java, C++, C#), databases, data structures and algorithms
Up to 3- 5 years of professional programming experience using Microsoft stack
Relevant professional certification
Knowledge of databases and operating systems
Excellent basic knowledge about Information Technology from both a software and hardware perspective
Knowledge of coding languages including C#, HTML5, CSS, and JavaScript.
Familiarity with database technology such as MSSQL, MySQL, Oracle and MongoDB.
Basic programming experience.
Ability to implement software security measures (OWASP Top 10)
Good working knowledge of version control systems using gitflow.
Ability to learn new software and technologies quickly.
Ability to manage codebase on a version control.
Software testing and debugging
Knowledge of Agile/Scrum project delivery formats
Responsibilities:
Translate business needs to develop solutions from design to technological product.
Oversee developer teams to ensure that product is delivered on time and to specifications.
Determine technical needs such as hardware, software, scalability, and security requirements.
Coordinate design and integration of overall architecture and parts of proposed systems with business.
Perform consistent updates to documentation and designs as needed.
Perform other duties as assigned by Team Lead, Enterprise Architecture
Keys Qualifications and Skills:
BSc in STEM
Minimum of 6 years cognate IT experience, 3 of which must be in either infrastructure or software development
Relevant professional certifications will be an added advantage e.g., ITIL, COBIT, TOGAF
Ability to research new technologies.
Proficient in Enterprise Architecture tools. e.g., Visio, Draw.io etc.)
Ability to interpret business requirements
Analytical Skills/ Problem solving
Self-Management
Interpersonal Skills
Oral & Written communication -processing/spreadsheet
RESPONSIBILITIES:
Selecting building, optimizing AI/ML/DM/SA models, and operationalize them in productive environments
AI/ML/DM/SA using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Extracting, Processing, cleansing, verifying the integrity and quality of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner; constantly tracking of models performance
Integrate model outputs into business applications (like CRM, ERP), and Reporting/Dashboarding tools (Microsoft PowerBI, Reporting Services) or develop if needed web based front-end layers
Create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement
Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues
Collaborate with Retail banking, Marketing, Sales, Engineering, Operations, etc. to build scalable processes and metrics
Responsible for gathering and cleaning of datasets across multiple data sources
Responsible for spotting vital insights and developing the framework of the organization’s data system
Provide information on analytic results to business and functional leaders using visualizations to communicate data and metrics, including data maps, leveraging Tableau, etc.
Coach and educate junior colleagues and new hires; build and deliver training programs/contents on AI/ML/DM/SA
Keys Qualifications and Skills:
Master's Degree in appropriate field of study
Excellent understanding of AI/ML/DM/SA techniques and algorithms
Great communication skills, and ability to educate businesspersons to become data driven
Ability to uncover use cases from Retail Banking Business problems and needs; ability to translate business problems into AI/ML/Analytics use cases.
Hands-on Experience with data visualization tools, such Microsoft PowerBI, as well as web front-end developments tools
Proficiency in using query languages such as SQL, Hive, Pig, as well as ETL tools (Microsoft SSIS, Informatica) and a Data-oriented personality
Experience with Microsoft Big Data and AI platforms/solutions both on-premise and on Azure: SQLServer Big Data Cluster, Azure Data Lake, Synapse Analytics, etc.
Experienced on Cloud platforms, in particular Microsoft Azure, experience on Linux environments and scripting
Good applied statistics skills, such as distributions, statistical testing, regression, Deep Learning, etc.
Good scripting and programming skills mainly using Python / Jupiter and leading AI/ML frameworks
Excellent and hands-on experience on Oracle and MS SQL-Server, and overall database design principles
Responsibilities:
Translate business needs to develop solutions from design to technological product.
Oversee developer teams to ensure that product is delivered on time and to specifications.
Determine technical needs such as hardware, software, scalability, and security requirements.
Coordinate design and integration of overall architecture and parts of proposed systems with business.
Perform consistent update to documentation and designs as needed.
Perform other duties as assigned by Team Lead, Enterprise Architecture
Keys Qualifications and Skills:
BSc in STEM
Minimum of 2 years cognate IT experience, 1 year of which must be in either infrastructure or software development
Relevant professional certifications will be an added advantage e.g., ITIL, COBIT, TOGAF
Ability to research new technologies.
Proficient in Enterprise Architecture tools. e.g., Visio, Draw.io etc.)
Ability to interpret business requirements
Analytical Skills/ Problem solving
Self-Management
Interpersonal Skills
Oral & Written communication -processing/spreadsheet
Responsibilities:
Keys Qualifications and Skills:
Responsibilities:
Support development and implementation of Data
Management strategies, portfolio & roadmap
Support in driving policy, implementation, and control.
Supporting to drive Data framework implementation.
Draft Training, Communications, Awareness, and Engagement plans to the Bank.
Define how controls will be embedded, measured, and assessed.
Evolve the governance processes as needed as platforms and processes change.
Be the point of contact for Data Governance queries, including escalation point for client concerns.
Support and supervise information stewardship activities and management.
Support alignment of data governance programme to the Group’s strategy.
Support in delivery of the data governance programme
Drive synchronization and management of source of record
Manage data as a strategic asset and operationalize data controls and frameworks to sustain the integrity of the data
Drive and support the use of a common data dictionary and automated data refinement to effectively run compliance models – really need focus on controls in models
Foster a culture of Innovation with enterprise-wide collaboration and partnerships
Collaborate on cross functional innovative self-service analytics to eliminate unnecessary manual effort.
Keys Qualifications and Skills:
University degree in Information Technology or related subject.
2 years of equivalent work experience in the Data Governance field, ideally in the Retail Banking sector.
IT certification and other professional qualification
Excellent analytical skills, written and verbal communication skills.
Ability to design and implement systems necessary to collect, maintain, and analyze data.
Ability to provide a range of systems training and/or support activities for users.
Specialist knowledge of data governance principles and practices.
Strong background and working knowledge in end-to-end data management principles
Familiar with database and BI/Machine Learning/AI concepts
Demonstrate advanced proficiency in Microsoft Office tools
Strong analytical and problem-solving skills
Responsibilities:
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that
optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Perform other duties as assigned by the Team Lead, Data Analytics
Keys Qualifications and Skills:
Bachelor's and/or advanced degree with a concentration in Data Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
2-6 years working experience as a data analyst or business data analyst, preferably in the financial services industry
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Ability to learn and dedication to service delivery
Proficient in office automation tools (e.g., Microsoft Office, etc)
Proficient in SQL
Oral & Written communication
Team building / conflict management
Initiative
Analytical Skills/ Problem solving
Self-Management
Interpersonal Skills
General managerial/ administration
Responsibilities:
Extending company’s data with third party sources of information when needed
Processing, cleansing, and verifying the integrity of data used for analysis
Develop, construct, test and maintain architectures (such as database and large-scale processing systems)
Ensure architecture will support the requirements of the business
Discover opportunities for data acquisition
Keys Qualifications and Skills:
Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
2-6 years working experience as a data engineer or business data analyst, preferably in the financial services industry
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Knowledge of statistics and experience using statistical packages
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Good knowledge of infrastructure and capacity sizing
Technical expertise around design and flow of data from system to system without loss
Use of ETL tool like SSIS, ODI etc
Design of master data and data lake
Proficient in office automation tools (e.g. Microsoft Office, etc)
Proficient in SQL
Responsibilities:
Meeting with project delivery managers to discuss software projects.
Conducting feasibility studies for software systems.
Designing new software programs, websites, and applications.
Assigning tasks to junior developers such as coding, testing, debugging, and analytics.
Writing advanced programming code.
Reviewing updated software codes.
Managing project timelines and tasks.
Writing development reports.
Creating technical documents for new software programs.
Training staff on software use.
Working on complex bug fixes
Perform other duties as assigned by the Lead Software Engineer
Keys Qualifications and Skills:
Bachelor’s degree in Information Technology, Computer Science, or a related quantitative discipline
5-8 years of relevant software design and development experience
Prior product development experience
Experience with software architecture principles, requirements and interfaces, and software systems engineering experience, has executed several software projects
Up to 8 years of professional programming experience using Microsoft stack
Relevant professional certifications
Managerial experience preferred.
Proficient in back-end and front-end development
Knowledge of automated testing
Advanced knowledge of software development tools, such as Visual Studio, Microsoft SQL server management studio e.t.c.
Knowledge of source code control tools
Knowledge of code review using PR (Pull Request)
Experience with cloud technologies, such as Azure and AWS
Knowledge in building cloud-native applications using Docker and/or Kubernetes
Advanced knowledge of programming languages including JavaScript, HTML5, C#, Java, SQL, and PHP.
Knowledge of system frameworks including .NET, Git, AngluarJS, and GitHub.
Experience creating and maintaining databases.
Experience working with Agile development technologies.
Experience with systems deployed on Unix/Linux/Solaris environments.
Job Description
Specifically, the developer role will include;
Keys Skills & Qualifications
Responsibilities;
Capacity planning
Keys Skills & Qualifications;
Responsibilities
Skills/Competencies
Behavioural Attributes
Qualifications & Experience
Desirable
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