Senior Financial Markets Specialist

IT Ridge Technologies; Pretoria; On-site; ZAR 700,000 - 900,000; Full time

Job summary

A financial technology firm in Pretoria is seeking a Senior Financial Markets Specialist to oversee the development of financial benchmarks and facilitate the transition to alternative reference rates. This role involves researching market microstructures and creating analytics to track monetary policy transmission. Candidates should have an honours degree in a relevant field and 8-10 years of financial markets experience, along with proficiency in data analysis tools like R or Python.

Qualifications

• Minimum 8–10 years of experience in financial markets.
• Strong data analysis skills in R and/or Python.

Responsibilities

• Research and maintain analytics related to interest rate and foreign exchange markets.
• Lead the development and review of interest rate benchmarks.
• Contribute to working groups and strategic initiatives.

Skills

Research and analytics

Data analysis

Stakeholder relationship management

Proficiency in R/Python

Education

Honours degree in Economics, Finance, Statistics, Data Science, or similar

Tools

Microsoft Office

R

Python

Job description

Job Overview :

The Senior Financial Markets Specialist will oversee the development of financial benchmarks, and assist in the transition to alternative reference rates in South Africa. The role includes researching market microstructures, creating analytics to identify market inefficiencies, and tracking the transmission of monetary policy.

Responsibilities :

• Research and maintain analytics related to interest rate and foreign exchange markets.
• Lead the development and review of interest rate benchmarks.
• Contribute to working groups and strategic initiatives.
• Oversee benchmark determination and improve processes.
• Collaborate with various specialists to implement data and infrastructure solutions.
• Build relationships with stakeholders and provide reports on market transparency.

Requirements :

Honours degree in Economics, Finance, Statistics, Data Science, or similar.

8–10 years of experience in financial markets.

Proficiency in Microsoft Office, R, and / or Python, with strong data analysis skills.