Job Description

As a Quantitative Developer, your primary focus will be developing, maintaining and testing quantitative risk models, used by Global Markets. You should expect to contribute to the three main focuses of the team:
Process Automation: improving efficiency and reducing operational risk
Full Revaluation VaR: providing support and in-depth analysis for the Full Revaluation VaR and FRTB IMA programmes
Strategic Risk Platform: advising and collaborating with teams across the wider organisation to centralise and better manage risk models and data
The team focuses on developing and testing new models/ systems so a pro-active, innovative approach is key. Further, you will often be asked to bring your technical expertise to other projects, requiring strong collaboration and communication skills.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.


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- Masters Degree, PhD - Financial Mathematics, Financial Engineering, Mathematics, Computer Science, etc.
- Quantitative Development experience, model development
- 2+ years of professional experience developing in Python, Object oriented programming
- Good communication, able to work with stakeholders and global teams
- Experience or exposure to financial markets, market risk, financial models, etc.
- Experience or interest in model development (VaR models)

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