Jobs at Tezza Business Solutions Ltd

Mid Level iOS Developer

The role of an iOS developer is to develop high-end iOS applications for the latest Apple mobile devices. This will include collaborating with the design team for new application features, identifying and fixing application bottlenecks, maintaining the core code, and updating applications published on the App Store.iOS Developer must have a strong working knowledge of iOS Frameworks, be proficient in Objective-C, and be able to work as part of a team. Ultimately, an outstanding iOS Developer should be able to create functional, attractive applications that perfectly meet the needs of the user.

Job Responsibilities/ Accountabilities

1. Strategy, Planning & Execution
2. 3+ years of software development experience
3. 3+ years of iOS development
4. Proficient in Objective-C, Swift, and Cocoa Touch.
5. Extensive experience with iOS Frameworks such as Core Data, Core Animation, Core Graphics and Core Text
6. Knowledge of iOS back-end services.
7. Knowledge of Apple’s design principles and application interface guidelines.
8. Proficient in code versioning tools including Mercurial, Git, and SVN.
9. Knowledge of C-based libraries.•Familiarity with push notifications, APIs, and cloud messaging.
10. Experience with continuous integration.
11. Have published 4+ iOS apps in the app store.
12. Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
13. Experience with third-party libraries and APIs
14. Experience in Restful API integration
15. Solid understanding of the full mobile development life cycle
16. Experience in offline storage, Multi-threading, and performance tuning
17. UI testing experience
18. Unit testing experience
19. iOS DevOps experience

Personal Attributes

1. Must be able and willing to collaborate in a team/cooperative environment as well as exercise independent judgment and initiative.
2. Strong analytical, decision-making, and problem-solving skills.
3. Is extremely logical, detail oriented with a keen attention to detail.
4. Demonstrated ability to prioritize workload and meet multiple project deadlines.
5. Ability to conduct research into systems issues and products as required.
6. Highly self-motivated and self-directed.
7. Ability to effectively prioritize and execute tasks in a high-pressure environment.
8. Experience working in a team-oriented, collaborative environment.
9. Proven ability to quickly learn new applications, processes, and procedures.
10. Structured thinker, effective communicator with excellent written and oral communication skills.
11. Excellent listening and interpersonal skills.

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Job Purpose

The candidate will apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Responsibilities:

1. Gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
2. Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features.
3. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
4. Designs various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
5. Drives analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives.
6. Codes, tests and maintains scientific models and algorithms; identifies trends, patterns, and discrepancies in data; and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
7. Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations.
8. Creates, maintains and optimises modelling solutions that enable the forecast of quality data outcomes.
9. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered.
10. Develops and maintains optimal evaluation techniques to ensure that modelled outcomes are rigorous and creates model performance tracking, and drives sustainable and effective modelling solutions.
11. Develops, implements, monitors and maintains a comprehensive operational IA plan, rules, methodologies and coding initiatives in order to drive IA for remediation efforts.
12. Develops and co-ordinates a comprehensive strategy for productionalising automation software so that it is accurate and well maintained
13. Mines data using state-of-the-art methods. Enhances data collection procedures to include information that is relevant for building data models.
14. Provides input into Data management and modelling infrastructure requirements and adheres to the organisations’s infrastructure development processes, including the management of User Acceptance Testing (UAT).
15. Ensure business integration through integrating model outputs into end-point production systems, where requirements must be understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
16. Builds machine learning models from and utilises distributed data processing and analysis methodologies.
17. Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka
18. Liaise and collaborate with the Data Science Guild, providing support to the entire department for its data centric needs.
19. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes.
20. Presents findings and observations to team for development of recommendations.
21. Acts as a subject matter expert from a data science perspective and provides input into all decisions relating to data science and the use thereof.
22. Educate the organisation on data science perspectives on new approaches, such as testing hypotheses and statistical validation of results.
23. Ensure ongoing knowledge of industry standards as well as best practice and identify gaps between these definitions/data elements and organisation data elements/definitions.

Qualifications

1. Bachelors Degree in Information Technology/ Information Studies and/or any other relevant course
2. Proven development experience in software and software engineering.
3. Understanding of financial services data processes, systems, and products.
4. Experience in technical business intelligence.
5. Knowledge of IT infrastructure and data principles.
6. Project management experience.
7. Exposure to governance and regulatory matters as it relates to data.
8. Experience in building models (credit scoring, propensity models, churn, etc.).
9. Candidate should have 3 – 5 years of experience:
   • Working with unstructured data (e.g. Streams, images)
   • Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
   • Using data mining to discover new patterns from large datasets.
   • Implement standard and proprietary algorithms for handling and processing data.
   • Experience with common data science toolkits, such as SAS, R, SPSS, etc.
   • Experience with data visualisation tools, such as Power BI, Tableau, etc.
   • Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; SSIS SSRS, Python, JSON , C#, Java, C++, HTML

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Job Purpose

The Finacle Developer will support the business to achieve its goals and objectives using effective, contemporary IT practices, modern technologies, and adhering to the laid down policies and procedures to achieve the strategic objectives. As the developer, you will offer both functional and technical expertise related to core banking applications, in the areas of operations, credit, clearing, payments, trade finance, treasury, custodial, integrations, databases, information security, etc. Additionally, you will provide expert knowledge and facilitate knowledge transfer and training to meet the key objectives of IT; ensure systems availability, provide continuity, confidentiality, and continuous Improvement.

Job Responsibilities

1. Provide Level 2 (L2) technical & functional and administration support of applications ensuring compliance with business expectation.
2. Carry out troubleshooting, installation, configurations, correction of scripts including optimizations, guidance, escalations, coordination with vendor & end user training.
3. Finacle scripting (SSO, CRM, CORE, C24, FI), Java programming, JavaScript scripting, customization and enhancements of new and existing functionalities and workflows
4. Development of new inbound and outbound APIs for Core, CRM, SSO, SVS, RI

Report development

1. Implement and maintain systems for monitoring/audit of functionalities.
2. Implement changes in parameters, configurations and deployment of patches based on approved Change / Configuration Management process.
3. develop and update technical procedures, release notes / deployment architectures and desktop instruction documents for all assigned applications.
4. Provide regular status update of issues / requirements assigned / allocated.
5. Adhere to bank’s incident, problem, and change management processes (Ticket assignment and resolution, Problem management to resolve root cause of repeat incidents, attend CAB meetings and verify all changes implemented are properly tested to minimise incidents related to changes).
6. Support business in executing UATs.
7. Provide required support for rollout of new functionalities, products, processes, and mandates.
8. Ensure security of data and information within the Applications Systems (Data Protection laws apply).
9. Support the execution of design, planning and implementation of bank projects that promote business needs.
10. Support the business continuity management activities (deployment, restoration, failovers, DR testing)
11. Training of the application to the relevant support teams.
12. Efficient and effectiveness in issue resolution.
13. Demonstration of sound technical judgement, communication skills and talented development capabilities.
14. To maintain the Culture Brand of the organization and customer service.
15. Contribute to business growth and sales of the organization.

Essential Knowledge

1. Excellent understanding of Information Technology policies and procedures. Excellent knowledge of local IT standards, laws and regulations.
2. Exhibits an exceptional degree of ingenuity, creativity and resourcefulness.
3. Leads the development of highly advanced technologies, principles, theories and concepts.
4. Guides and transfers knowledge to the team.

Key Critical Competencies

1. Enterprise IT skills.
2. Excellent and effective communications skills, both orally and in writing.
3. Being adaptable, excellent Teamwork/Interpersonal skills.
4. Customer handling skills
5. Work under pressure and multitask
6. Flexibility to work in 24x7 environment
7. Analytical, troubleshooting & problem-solving skills
8. Understanding of organization, vision, mission, and culture
9. Understanding of banking processes, technologies, and best practices
10. Understanding of below mentioned platforms, applications, databases, and utilities:
    • UNIX / Linux / MS Windows Server
    • Programming Languages (Java, JS, C++, JavaScript, XML)
    • Scripting languages including unix
    • Oracle, SQL, PL-SQL
    • Web Technologies (J2EE, IIS, Weblogic, Apache)
11. Banking, Financial sector and Insurance domain knowledge

Requirements

1. Bachelor’s degree in IT or equivalent.
2. Experience in application system administration skills and certifications for example: linux, microservices, database (oracle, mssql, mysql, db2, postgre, maria, etc), middlewares (weblogic, websphere, tomcat, wildfly, etc) , Java ,sql, Window Powershell, C++, unix scripting, and other related certifications.
3. Solid experience in problem analysis and resolution of software problems, proven ability to function in a self –directed environment.
4. Experienced in project management and running multiple projects.
5. Innovative thinker who is positive, proactive, and readily embraces change.
6. Able to operate in a performance driven organization.
7. Culturally aware and adept at working across multiple geographies.
8. An ability to work in tight deadlines and within constraints.
9. Prior experience in clearing, branch operations, trade finance, credit, customizations, reports