Job Description

Applications Close 03 December 2025

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Location

Cape Town
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Reports To

Analytics Management Committee
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Application Criteria

Qualifications:

Degree in Engineering, Computer Science, Applied Mathematics or Statistics.

Technical Skills:

Understanding of ETL concepts and data structures Coding ability (Python & SQL preferred) Strong Excel skills Advantageous: Orchestration tools such as Airflow, Databricks Workflows, APIs, Azure Data Factory, or similar. #

Experience

Graduate / Entry level positions
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EE Disclaimer

RisCura complies with the Employment Equity Act and will fill all roles in accordance with our Employment Equity strategy and to the specification of the business area. Applicants who have not heard back from Human Resources within one month of the closing date should consider their application unsuccessful.

Purpose of Job

Ensure the reliable, accurate, and timely flow of data that underpins all investment analytics, reporting, and decision-making within the business. Ensure pipelines meet daily and monthly SLAs for reporting cycles.
Support the full data lifecyclefrom ingestion and validation through to transformation and delivery. Contribute to the design of modular, scalable data pipelines and participate in architecture discussions for new investment-data workflows. The role exists to strengthen operational resilience, improve data quality, and drive the automation and optimisation of processes across the investment analytics function. Support data lineage tracking, metadata management, and governance standards to ensure transparency for audits and regulatory reporting.

Key Competencies, Skills and Attributes

Strong attention to detail and analytical thinking. Curious mindset with a willingness to learn and solve complex problems. Ability to work under pressure during reporting cycles.
Good communication skillsespecially when interacting with Analytics and Dev teams. Proactive, organised, and able to prioritise multiple tasks. Comfortable working with large datasets and technical workflows. Strong interest in emerging technologies, automation & AI. Curious mindset with a passion for creative problem-solving and "thinking differently." Ability to balance structured analysis with open-ended exploration. Ability to document pipelines, data contracts, assumptions, and workflows to ensure reproducibility and team resilience.

Key Responsibilities

Data Pipeline Operations

Monitor, run, and validate daily ETL processes across pricing, benchmarks, holdings, transactions, and market data sources. Troubleshoot data breaks, identify root causes, and implement timely fixes. Ensure accurate loading of data into core systems (Databricks, SQL databases proprietary analytics systems). Maintain documentation of data flows, ingestion processes, and data dependencies.

Data Quality & Validation

Apply and enhance rules-based data quality checks. Investigate anomalies raised by analytics or risk teams and escalate appropriately. Partner with the Development (Dev) team to refine validate rules and data model logic.

Cross-Team Collaboration

Work with investment analytics to support daily & month-end cycles, reporting deadlines, and bespoke client deliverables. Partner with the development team to automate recurring tasks and improve data infrastructure. Communicate clearly and proactively when issues arise that may affect downstream reporting. Work with external data vendors, fund administrators and prime brokers using APIs and file-based feeds to ensure reliable ingestion of market and benchmark data.

Automation & Continuous Improvement

Build scripts and tools to reduce manual work across the analytics and data operations pipeline. Contribute to process re-engineering and optimisation initiatives. Support the migration of legacy processes to modern data platforms (e.g., Databricks / Delta Lake).

Domain Learning & Application

Develop understanding of investment data, financial instruments, portfolio holdings and trades and price sources. Learn fundamentals of return calculations, risk metrics, attribution methodologies, and benchmark composition. Become capable of understanding how data quality impacts reporting outcomes. Gain exposure to NAV calculations, benchmark methodologies, different return types and risk metrics.

Other Key Relationships

Collaborate with RisCura teams including the Dev team, Data Management teams and Business Analysts. Build relationships with external market and portfolio data providers.

Remuneration

Market-related