Quantitative Developer | Financial Services

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Quantitative Developer | Financial Services

We are looking for a Quantitative Developer to join a Fintech and drive new investment analytics solutions (a cloud-based investment analytics platform) for both external clients and the internal consulting practice that predominantly services the asset management space.

Working in a small technology team, you will be responsible for delivering innovative solutions to customers in order to aid their future investment decisions.

Being an integral part of this cross-functional team, you will get to work with a diverse client portfolio whilst being guided by a Senior Management team with global experience across the finance sector. You will be presented with many interesting development opportunities working with both the platform team, and across the investment practice.

This role would suit someone with a Quant Development or Analysis background and looking for their next move. Alternatively, a Data Scientist with strong mathematical/ statistical skills with experience working in financial services.   

Selected Key Responsibilities:
- Design and develop the quantitative modelling aspects for new analytical tools, data visualisations, dashboards and dynamic reports to automate processes and make them more efficient, enable new investment insights and assist investment decision making
- Commercialise and optimise prototype tools and contribute to the enterprise architecture for a fully functional cloud-based enterprise application suite
- Take ownership of the quantitative investment models that underpin our client-facing technology platform - support, maintain and enhance these models where required
- Contribute to the group’s quantitative research and development agenda, proposing and working with the team to deliver new techniques and ideas to increase the quantitative solutions capabilities
- Design and implementation of low-latency, high availability and performant applications

• Advanced degree qualification in Quantitative Finance/Econometrics or Mathematics
• Experience working in an investment environment (e.g. superannuation, funds manager or similar asset manager/asset owner)
• Experience developing quantitative models for investment analytics applications
• Knowledge of portfolio construction/ investment analytics/ portfolio monitoring/ investment risk tools
• Expert level programming, ideally in Python and related tech e.g. Sklearn, NumPy, Pandas
• Additional programming languages an advantage e.g. Matlab/ R/ SQL/ VBA

Shortlisting for this role will begin immediately. To be considered for this role, please follow the relevant application process. 

Interviews can be conducted online or face to face.