Product Manager — Trading Platform, Rules & Risk
Indexed description
Your Role in Our Mission
As Product Manager — Trading Platform, Rules & Risk, you sit at the most consequential intersection in our product organisation — where trader experience meets financial integrity. You will lead the squad responsible for the rule engine that governs every CFD challenge: designing new challenge types, defining how rules are surfaced to traders, building the simulation and backtesting infrastructure that lets us model change before we ship it, and partnering with Trading and Risk Management to close off abuse vectors before they reach scale. Every decision you make carries direct financial consequence — and that weight is exactly what makes this role compelling.
How You'll Make An Impact
Challenge Design & Rule Architecture
- Design and launch new challenge types (beyond Stellar, Express, Evaluation) targeting new trader segments and creating incremental revenue streams
- Run competitive analysis on how other prop firms structure their challenges, rules, and risk parameters — ensure FundedNext’s rule design is differentiated and continuously innovated
- Lead the CFDs Trading Rules & Risk squad — write specs for heavy backend algorithmic work including the rule engine, simulation tools, and backtesting infrastructure
- Define how trading rules are visualised on the trader-facing dashboard — work closely with the Trader Success squad to ensure rule statuses, drawdown levels, violation warnings, and account health are displayed clearly and accurately
- Design and own the end-to-end rule violation communication process — define what triggers a notification, what the messaging says, which channel it goes through (in-app alert, email, dashboard warning), and how disputes are escalated and resolved
- Build internal admin tools requirements — define the interfaces that let the operations and risk team configure, monitor, simulate, and audit rules effectively
- Partner with engineering to build rule simulation and backtesting tools — enable what-if analysis so the team can model rule changes against historical trade data before deploying them
- Collaborate deeply with FundedNext’s Trading and Risk Management team on abuse detection and management — translate abusive trading patterns (rule loopholes, coordinated trading, hedging abuse) into product-level rule adjustments, detection parameters, and enforcement workflows
- Define and track squad OKRs: GP margin per challenge type, pass/fail ratios, rule-change impact modelling accuracy, false-positive violation rate, and trader dispute volume related to rules
- 5+ years of product management experience, with significant exposure to financial products, risk management, or trading systems
- Strong quantitative and analytical skills — ability to build and interpret financial models, pass/fail simulations, and rule-change impact analyses
- Experience with business rule engines, configuration-driven product logic, or algorithmic decision systems
- Deep understanding of prop trading, CFD trading mechanics, drawdown calculations, and margin management — or demonstrable ability to learn complex financial domains quickly
- Experience designing data visualisation for complex states — defining how rule statuses, account health, and violation warnings should be presented to both end users and internal operations teams
- Strong process design skills — ability to define end-to-end communication workflows including trigger conditions, notification channels, messaging templates, and dispute escalation paths
- Experience working with risk management, fraud, or compliance teams — translating business risk findings into systematic product-level adjustments
- Understanding of abusive trading patterns in prop trading or financial markets (account manipulation, hedging exploitation, coordinated trading) and how to build product-level defences
- Comfort with high-stakes decision-making where errors carry direct, significant financial consequences
- Excellent collaboration skills with engineering teams working on heavy algorithmic and business-logic systems
- Bachelor’s degree in a relevant field (Finance, Engineering, Computer Science, Mathematics, or equivalent experience)
- 30-minute HR Session with the Talent Acquisition team
- 60-minute Session with the Direct Supervisor
- 60-minute Session with Chief Strategy Officer
Your next chapter in global leadership begins here.
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