Contract Jobs at IQbusiness

Job Description

• iqbusiness is seeking to employ a Data Analyst on a 12-month contract to collaborate with an international partner from our offices in Welgemoed, Cape Town, Northern Suburbs. This is a hybrid role (3 days on-site; 2 days WFH).
• As a key member of our analytics team, you will drive the development of reports and dashboards that deliver actionable insights to stakeholders across the business.
• Working closely with users, you'll understand their reporting needs, design effective Tableau solutions, and ensure our BI platforms run smoothly. From maintaining data pipelines to providing training and technical support, you'll make data accessible and meaningful for decision-makers at every level.

Key Responsibilities:

• Ensure maintenance of the BI platform, including user management and access control.
• Monitor data flows, processes, and perform bug fixing to ensure reporting accuracy.
• Test new releases and document, design, implement, and reconcile reporting solutions.
• Build and maintain Tableau dashboards and reports that deliver clear, actionable insights.
• Enrich the existing data model based on changes in data sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Collaborate with end users and the BI team to understand requirements and propose effective reporting solutions.
• Take ownership of projects and user stories, update progress, and share updates with the team.

Minimum Requirements:

• Bachelor's Degree in Computer Science or equivalent
• 3+ years of experience with BI solutions with a strong expertise in Tableau
• 3+ years of experience with SQL
• 2+ years working with end users to define requirements and propose solutions
• Experience with one of: Salesforce / CRM Analytics / Snowflake / Power BI

Skills Required:

• Ability to work with end users to define requirements and identify solutions
• Excellent analytical and problem-solving skills
• Excellent visualisation skills
• Excellent communication skills with the ability to explain complex models to non-technical stakeholders

Closing Date 31 March 2026

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Role Overview

• Responsible for the end-to-end delivery of approved change initiatives across a global business environment, utilising established Cloud and System Delivery Life Cycle (CDLC/SDLC) frameworks.
• The role ensures projects are delivered on time, within budget, and aligned to stakeholder requirements, while balancing scope, cost, quality, resources, and risk.

Key Responsibilities

• Manage day-to-day delivery of assigned change initiatives.
• Provide regular progress and status reporting to stakeholders.
• Proactively identify, manage, and escalate risks, issues, and change impacts.
• Facilitate governance and technical forums to support successful delivery.
• Balance BAU activities with project delivery requirements.
• Ensure adherence to structured project management methodologies (Agile/Lean where applicable).
• Collaborate with global stakeholders across multiple geographies.
• Contribute to the ongoing development of change delivery processes and team capability.

Required Experience & Skills

• Finance and accounting background.
• Experience in finance systems implementation or management.
• Proven experience working across global teams.
• Strong structured project management capability.
• Solid understanding of cloud technologies and proficiency in Microsoft Office.
• Excellent stakeholder management and communication skills (written and verbal).

Advantageous Experience

• Finance transformation initiatives.
• Oracle ERP (General Ledger & Enterprise Performance Reporting).
• Cloud platforms such as Oracle Fusion and Microsoft Azure.
• Exposure to DevOps practices and DORA metrics.
• Data management and business process/change management experience.

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Job Description

• We are seeking an experienced AI/ML engineer to join our dynamic merchant payments team in Stellenbosch/Cape Town. This is a hybrid role requiring in-office presence three days per week.
• As part of a collaborative and high-performing team, you will design, build, and productionise secure, scalable AI/ML solutions with a strong focus on merchant payments and financial transaction processing. Working at the intersection of data engineering and machine learning, you’ll contribute to projects that demand innovation, compliance, and technical excellence.
• If you thrive on solving complex challenges, enjoy working alongside motivated professionals, and want to deliver AI systems that make a real impact, this role is for you.

Key responsibilities and output areas include:

LLM Solution Engineering

• Architect and implement RAG pipelines over payments and merchant data (tickets, chargebacks, settlement statements, documentation).
• Fine-tune and evaluate domain-adapted models (prompting, adapters/LoRA, retrieval, re-ranking, and guardrails).
• Deploy secure, observable model services behind internal APIs with SLA/SLOs and A/B or canary rollout.

Data Engineering for AI

• Build events drive pipelines (Kafka) and ELT into feature/embedding stores; manage data contracts, schema evolution, and quality gates end to end.
• Optimise storage/layouts and retrieval for vector indexes and low-latency use cases.

MLOps & Reliability

• Implement training/inference CI/CD, model/version registries, dataset lineage, drift/guardrail monitoring, red teaming, and safety filters.
• Define offline and online evaluation (factuality, toxicity, PII safety, and business KPIs such as deflection, turnaround time, and fraud catch uplift).

Security & Compliance

• Engineer solutions consistent with PCI DSS expectations when handling card data (segmentation, least privilege, logging/monitoring, encryption, and vulnerability management).
• Partner with security, risk, and compliance teams for design reviews.

Collaboration & Delivery

• Partner with Merchant Ops, Risk/Fraud, Disputes, Engineering, and Legal teams to translate problem statements into shipped AI features.
• Contribute to AI governance (model cards, usage policies, evaluation packs).

Key Requirements

• 6+ years in data or ML engineering, with at least 2+ years hands on in LLMs / modern NLP (RAG, vector search, embeddings, prompt engineering, fine-tuning).
• Proven experience in production deployments of LLM-backed services (latency, cost, monitoring, rollback).
• Technical Skills
• Strong proficiency in Python (data + serving) and SQL.
• Experience with event streaming (Kafka) and workflow orchestration (Airflow/Dagster).
• Cloud expertise (AWS): containerised workloads, infrastructure as code (Terraform), and Kubernetes (Rancher-managed environments acceptable).
• Experience building and operating data pipelines (batch + streaming), dimensional models, and feature/embedding stores.

Domain Knowledge

• Ability to design solutions aligned with PCI DSS controls (or willingness to upskill rapidly).
• Payments/merchant domain exposure (chargebacks, disputes, settlements, reconciliation, 3DS, fraud signals) is advantageous.
• Soft Skills
• Strong problem-solving and analytical ability.
• Ability to work effectively in agile teams.
• Clear communication with technical and non-technical stakeholders.

Education

• Bachelor’s degree in computer science, information systems, or a related field.
• Relevant certifications in AI/ML, cloud, or payment systems are advantageous.

Nice to Have

• Experience with vector databases (e.g., OpenSearch k NN, pgvector, Pinecone), rerankers, safety/guardrail frameworks.
• Observability for AI: prompt/version telemetry, evaluation pipelines, and human-in-the-loop feedback.
• FinOps mindset: model/runtime cost optimisation at scale on AWS.
• Exposure to performance tuning, observability tools, or A/B testing.

Closing Date 13 March 2026