Front-office Analytics & Tools Product Manager

We are looking for a Front office (FO) Trading & Pricing Analytics Tools modeler/Product manager to join our Platform Strategy Team as FO Trading Tools Integration expert. The Platform team is responsible for planning the roadmap of Analytics deliveries used for Derivatives valuation & Risk management. The customer base includes Portfolio managers using these tools to construct Pre Trade ideas and post trade Risk management.

The position will involve specifications management and planning the build out of tools that carries out numerical modelling using the internal pricing library.

• Define presentation and uptake mechanisms for Front office analytics solutions.
• Interface with Portfolio Managers, Quant Researchers, Quant modelers, and Desk Quants for various tooling needs.
• Supply specifications to UI Team for building out a flexible, portable, and connected Tools eco system.
• Understand gaps in existing interfaces and tools to work on closing them by bringing all relevant stakeholders on the same page.
• Act as the last line of defence/quality controller from a fit of purpose perspective before tools are delivered.
• Be responsible for on time delivery of all Quant Analytics by representing the needs of the business holistically and carrying out active milestone tracking.

• Understanding of different asset classes and the associated instrument types in one or more of FX/Rates/Equity asset classes in a Bank/Hedge Fund is a must.
• Good knowledge of investment processes and participation in Pre Trade or revenue generation for a Trading Desk.
• Relevant experience working as Desk Quant/ Structurer/ Stress Tester/Quant Researcher attached to a Trading Desk actively involved in Derivatives Trading or Market Making is a must.
• Proven track record delivering Pre trade pricing/Quant Trading Tools is expected.

• Minimum 5 years of experience actively facing Front Office teams consisting of Portfolio Managers/Trader/Quantitative Pricing while supporting a Rates desk/ Hedge Fund.
• Degree in Computer Science/Mathematics/Statistics/Economics/Quantitative Finance.
• Good knowledge of tooling in Python.

• FRM/ CFA/ CQA.

If you hold experience in Front office Analytics and Tools, within hedge fund/trading, do reach me at for a discussion.

EA License no: 16S8066 Reg no.: R

Only successful candidates will be notified.