Start Date
Immediate
Expiry Date
07 Sep, 25
Salary
0.0
Posted On
26 Jul, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Availability, Background Checks
Industry
Financial Services
WHAT ELSE DO YOU NEED TO KNOW?
As we manage and have control of highly confidential data at ORX, the successful candidate will be subject to background checks.
If you’re a good match for this exciting opportunity, please apply with a copy of your CV and cover letter to careers@orx.org by close of business on Friday 8th August 2025.
In your cover letter, please include the following information:
We look forward to reviewing your application and will be in touch soon.
Applications not received in this way will not be considered. However, if you require any reasonable adjustments in relation to this request, please do not hesitate to let us know, and we will be happy to accommodate your needs
The role is an interesting and rewarding opportunity for an enthusiastic and proactive individual interested in supporting and delivering projects that will help solve current Operational and Non-Financial Risk measurement challenges faced by leading institutions in the global financial services industry.
The individual will contribute to the successful running of ORX’s Risk Measurement research programme. This will involve working as part of a close-knit team to help plan and deliver research projects, engaging with experts in the operational risk measurement field working at ORX member firms.
Research activities include:
The research analyst will contribute to the activities of the Risk Measurement team in the following ways:
1. Engaging with ORX member firms via its Analytics Working Group and CCAR Community. Attending calls, keeping track of conversations and promoting engagement with these groups.
2. Design and build surveys, using tools such as Excel and R to analyse and visualise data which, together with the individual’s strong writing skills, will help us to communicate research findings in coherent and compelling ways.
Excellent communication and presentation skills are essential, along with strong time management and the ability to work effectively as part of a team. The role involves engaging with technical financial concepts (e.g., regression, statistical models, financial capital), so confidence in researching and discussing such topics is desirable.