Open Positions at IQbusiness

Key Responsibilities and/or Outputs

• Creating modules and components and coupling them together into a functional app
• Delivering a complete front end application
• Ensuring high performance on mobile and desktop
• Writing tested, idiomatic, and documented Javascript, HTML and CSS
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Cooperating and engaging with the back-end developer in the process of building the RESTful API
• Communicating with external web services

Skills and Qualifications

• Proficiency with JavaScript and HTML5 (3 - 10 years' experience preferred)
• Experience with Node.js (at least 2 years)
• Experience with web and mobile apps preferred
• Professional, precise communication skills
• Expert knowledge of AngularJS practices and commonly used modules based on extensive work experience
• Creating self-contained, reusable, and testable modules and components

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Responsibilities:

• Develop and implement data loss prevention policies, standards, and procedures to ensure the protection of sensitive such as a data classification, data retention, and archiving, data encryption, data masking and email labelling.
• Collaborate with stakeholders to assess data protection needs and design appropriate solutions.
• Configure and manage DLP tools and technologies to monitor and enforce data protection policies.
• Conduct risk assessments and security audits to identify vulnerabilities and recommend DLP controls.
• Investigate security incidents related to data loss or leakage and implement corrective actions.
• Provide guidance and training, where needed, on data protection best practices and compliance requirements.
• Provide guidance on the implementation of a DLP programme.
• Stay current with industry trends and advancements in DLP technologies and practices.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent work experience).
• 5+ years proven experience as a DLP specialist or in a similar role, with a strong understanding of data protection regulations (e.g., GDPR, HIPAA, PCI-DSS).
• Hands-on experience with DLP tools such as Purview, Symantec DLP, McAfee DLP, or similar solutions.
• Familiarity with network security principles and technologies (firewalls, proxies, IDS/IPS).
• Excellent analytical and problem-solving skills, with the ability to assess complex situations and prioritize effectively.
• Strong communication skills and the ability to work collaboratively with cross-functional teams.
• Relevant certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus.
• Must be able to accommodate hybrid or in office way of work.

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Responsibilities:

• Improve Existing AI Applications: Boost the performance, scalability, and robustness of current AI applications, ensuring they match changing business needs.
• Innovation and Development: Contribute towards the design, development, deployment, and maintenance of scalable AI/ML embedded applications, driving operational and commercial success across diverse business use cases.
• Perform User-Centric Testing: Conduct experiments and tests of AI solutions with end users, iterating based on feedback to achieve optimal performance and user satisfaction.
• Finetune and optimise predictive models: Apply state-of-the-art techniques and frameworks to create, train, and evaluate machine learning as well as open-source LLM foundation models
• Build RAG and Agentic pipelines: Develop and implement robust and efficient pipelines for RAG and Agentic frameworks, enhancing the capabilities and performance of our AI solutions.

Education and Experience:

• Bachelor’s degree in computer science, Engineering, Data Science or a related field. Relevant certifications in AI/ML or related fields are highly
• Minimum 4 years of experience in AI/ML engineering or related roles (e.g., data science, software dev)
• Working knowledge in LLMs and Generative AI: Proven experience in developing solutions or proof of concepts with Large Language Models, including familiarity with frameworks such as LangChain, LlamaIndex
• Proficiency in Python: Extensive experience in Python, with a track record of writing production-quality backend code.
• Statistical and ML Knowledge: Good understanding of statistical fundamentals and machine learning theory, with practical application in real-world projects.
• Experience with Application Containerization: Strong experience in application containerization technologies, such as Docker and Kubernetes, ensuring scalability and maintainability.
• Adaptability and Resilience: Ability to excel in a dynamic environment with evolving objectives and user needs, demonstrating flexibility and resilience.
• Cloud Application Development: Experience in developing and deploying applications on Azure.

Advantageous Experience and Skills:

• Experience with MLOps/LLMOps: Knowledge of MLOps/LLMOps practices, enhancing the lifecycle management of machine learning and language model operations.
• Front-End Development Skills: Proficiency in front-end technologies such as JavaScript, React, HTML, and CSS, enabling seamless integration of AI solutions.
• Industry-Specific Experience: Background in insurance, banking services, or a similar field is advantageous, providing relevant context and understanding of industry-specific challenges and opportunities.

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Skills & Competency:

• Forecasting techniques in R
• Segmentation and cohort analysis
• Regression analysis
• Hypothesis testing
• Estimation and correlation analysis

Duties and Responsibilities:

• Development, implementation and optimisation of credit and operational risk models (Basel II regulatory capital models, impairments)
• Development and implementation of various quantitative models for clients in the banking and insurance industries
• Credit risk and operational risk evaluation, including qualitative and quantitative approaches, as well as modelling, analytics, and forecasting
• Data mining, scrubbing, cleaning, mapping and analysis using SAS, SQL, VBA, Python and R skills
• Compilation of model build and business requirement documentation
• Creation of MIS dashboards with advanced insights
• Development and implementation of solutions to monitor the performance of existing models
• Innovative first-principles model building and automation of processes 

Education & Qualifications:

• Completed Mathematical and/or statistical related Degree
• Two-five years quantitative analysis or modelling experience
• Competent in SAS, SQL or VBA
• Ideally a Credit Risk or Financial risk background
• Banking or financial exposure preferable 

Knowledge:

• Building credit risk models including scorecard development
• Regulatory landscape
• Implementation and automation of models
• Understanding of credit life cycle
• Banking knowledge and exposure
• Market Risk and Financial Modelling knowledge
• Data mining and analytics / Statistics
• General business and process knowledge

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Job Description:

• We are seeking a highly skilled and passionate Senior UX Researcher for a contract position, with 4-5 years of experience in UX research. The successful candidate will have a proven track record of delivering actionable insights that drive product and service improvements. This position requires an on-site presence initially, available immediately.
• Plan, conduct and analyse comprehensive both qualitative and quantitative user research studies, including ethnographic research, usability testing, surveys, heuristic evaluations and interviews.
• Analyse qualitative and quantitative data to uncover user insights, patterns, and behaviours. Translate findings into actionable recommendations.
• Work closely with cross-functional teams, including product managers, designers, and developers, to integrate research findings into the product development process.
• Champion the needs and perspectives of users throughout the product lifecycle, ensuring their voice is heard and prioritized.
• Develop and refine research methodologies to ensure robust and reliable data collection and analysis.
• Create detailed reports and presentations to communicate research findings and insights to stakeholders at all levels of the organization.
• Stay updated on the latest UX research trends, tools, and methodologies, and continuously seek ways to improve our research practices.

Requirements:

• 4-5 years of experience in UX research, preferably within the IT consulting or technology sector.

Qualifications:

• High School Diploma required.
• Diploma or degree in a relevant field

 Preferred Skills:

• Proficiency in a variety of UX research methods and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work independently and collaboratively in a fast-paced environment.
• Knowledge of user-centered design principles and practices.
• Familiarity with design and prototyping tools (e.g., Sketch, Figma, Adobe XD) is a plus.
• Experience with tools commonly used in the banking sector in South Africa, such as Morae, Optimal Workshop, and UserTesting