Junior Risk Valuation & Modeling Analyst

Overview

With 4,500+ employees and over 300,000 commercial, institutional, payments, and retail clients, Stone

X Group operates from more than 70 offices across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets – focusing on innovation, human connection, and providing world‑class products and services to all types of investors.

The Risk Valuation Group is responsible for understanding, implementing, and ensuring uniform valuation processes, practices and modelling across all Stone

X entities. The group works closely with the Market Risk teams to research appropriate margining methodologies and trading limits, covering instruments from spot transactions to exotic options across almost all asset classes with a heavy emphasis in currencies, energy, metals, and soft commodities.

This role will work in coordination with the London Risk Valuations Team and the broader US‑based Risk Valuation group.

• Develop a complete understanding of firm‑wide trading positions, systems, models, data inputs and pricing sources to ensure completeness, accuracy and validity of prices and margins.
• With Market Risk, research various instruments and margining methodologies and risk model parameters.
• Analyse and provide recommendations to improve the processes and procedures for ensuring accurate, daily mark‑to‑market of customer and company positions.
• Contribute to testing, maintenance, and implementation of new risk models and systems.
• Carry out periodic and ad‑hoc risk analytics on clients, trading books, and products to inform risk‑management decisions.
• Participate in risk model validation reviews with other risk, back‑office and front‑office personnel or groups.
• Participate in new product/system reviews and represent the Risk Valuation group point of view.
• Build working relationships with risk strategy, risk compliance, front‑office IT and back‑office IT to accomplish all the tasks of the Risk Valuation group.

• Bachelor’s and Master’s degrees in Financial Engineering, Mathematics, Computer Science, or Finance.
• Good analytical and problem‑solving skills.
• Team player.
• Strong organisational skills with an interest in working in a fast‑paced environment, often balancing multiple high‑priority deliverables.