Quantitative Developer

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Since our founding in 1996, we have been at the vanguard of financial technology, providing groundbreaking expertise, quantitative analytics and software that redefine pricing and risk management in the financial markets. With the strategic acquisitions of FINCAD, Poly Paths and Kynex, Numerix has further strengthened its leadership position empowering financial institutions worldwide, to transform risk into opportunities with confidence.

As a Quantitative Developer
, you will contribute to the successful delivery of customer onboarding, solution implementation and application support services for both our SaaS and on-premises clients. You will work hands‑on with both our clients and the product team, always striving to meet our business objectives. The financial markets in which our customers operate are dynamic and fast‑paced, requiring the Customer Services and Product teams to continuously adapt to work on innovative solutions that serve our customers.

• Help design complex valuation and risk solutions through customer implementation projects that include but are 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 Net Suite diligently.

• At least 3‑5 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.

• Graduated with an advanced degree (Masters) in a technical discipline, such as quantitative finance, financial engineering, mathematics, or physics.
• Worked as a consultant and/or other professional/client services teams on software implementation projects or some experience in product management.

This is a hybrid role, open to candidates who live within a commutable distance of our Milan office (Via San Raffaele 1, 20121 Milan MI).

The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job‑related knowledge, skills, and experience.

Also note that unsolicited contact from third‑party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.

• Mid‑Senior level

• Full‑time

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