Quantitative Developer

August 8

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Numerix

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Fintech • Banking • Trading

Numerix is a financial technology company that empowers market participants to transform uncertainty into opportunity through advanced quantitative analytics and technology. It provides comprehensive solutions across the trade lifecycle, including tools for risk management, trading, and quantitative research. With a strong focus on accuracy, transparency, and innovation, Numerix serves a global client base by delivering sophisticated analytics for derivatives, structured finance, and capital markets.

201 - 500 employees

Founded 1996

💳 Fintech

🏦 Banking

📋 Description

• Help design complex valuation and risk solutions through customer implementation projects that include but not limited to; • Capturing and translating customer business requirements into solution specifications and designs. • Front-to-Risk systems configuration. • Systems integration/interfaces. • Workflow automation. • First line troubleshooting during QA and customer testing. • Provide 1st class application support to our EMEA clients. • Contribute to the full lifecycle of product development working with a team of Financial Engineers, Quantitative Analysts, Solution Architects / Developers and Project Managers. • Partner closely with product engineering, product management, sales, pre-sales and support to deliver analytics solutions that meet our clients’ expectations. • Be an active contributor to change management, and to a positive, collaborative, and high performing team environment across Numerix as a whole. • Drive change management and lead, coach and mentor other team members. • Customer NPS focused on application support. • Contribute to the optimisation of Professional services revenue adopting best practice throughout project implementation. • Continuous training and knowledge exchange across technical resources in PS. • Support operational efficiency in PS by logging time in NetSuite diligently.

🎯 Requirements

• At least 7 -10 years experience in financial derivatives, risk analytics and capital markets with strong understanding of quantitative finance and technology. • Some experience with risk analytics including but not limited to Historical, Monte Carlo & Scenario VaR, XVA, PFE etc., as well as In-depth familiarity with Product Structures, Curve Building, Pricing Models, Risk and Market Reference Data. • Strong demonstration, communication, and interpersonal skills are a must. • Strong understanding of the Software Development Life-Cycle (SDLC) and best practices of the same (preferably Agile) and development tools like JIRA. • Strong hands-on experience with python and/or other programming languages. • Experience with cloud-based native services and SaaS offerings.