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 be involving specifications management and planning the build out of tools that carries out numerical modelling using internal pricing library.
Responsibilities
- In charge for defining presentation and uptake mechanisms for Front-office analytics solutions.
- To 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 that by bringing all relevant stakeholders on the same page.
- Act as a 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 carry out active milestone tracking.
Skills
- 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.
Experience
- 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
Good-to-have
If you hold experience in Front office Analytics and Tools, within hedge fund / trading, do reach me at LeonardT@charterhouse.com.sg for a discussion.
EA License no: 16S8066 | Reg no.: R1657935
Only successful candidates will be notified.