Product Manager (Risks)

JustMarkets; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

20 paid vacation days per year

10 paid sick leave days per year

Public holidays as per the company’s "

Medical insurance

Opportunity to work remotely

Professional education budget

Language learning budget

Wellness budget

Job summary

JustMarkets is seeking a deeply technical Product Manager for its Risk Tech team, focusing on real-time margin engines, exposure aggregation, and microsecond anti-fraud controls.

You will bridge Quants, Risk & Dealing, and Systems Engineers to translate risk models into deterministic, low-latency software, enabling safer, more scalable trading across CFD, Crypto, and Derivatives. This role offers remote work options and a strong professional education budget.

Qualifications

• 3+ years of Product Management experience in Risk Tech or related finance domains.
• Deep knowledge of risk models: margin, VaR, and exposure metrics.
• Experience translating quantitative models into software roadmaps.
• Understanding of high-frequency, low-latency trading environments.

Responsibilities

• Define product vision and roadmap for Margin Engines and exposure management.
• Translate mathematical risk models into deterministic algorithms for engineering teams.
• Outline edge-case handling for extreme market events.
• Collaborate with Quants and Risk leaders to deliver real-time risk monitors.
• Lead post-incident reviews to optimize risk parameters.

Skills

Product management

Risk Tech

Quantitative trading

Crypto derivatives

CFD trading

Low-latency

Financial markets

Education

Quantitative Finance

Applied Mathematics

Computer Science

Financial Engineering

Tools

FIX

WebSocket

C++

Rust

C#

Python

SQL

Job description

We are looking for a deeply technical and mathematically minded Product Manager to join and help scale our expanding Risk Tech team.

In a high-frequency, high-volume trading platform processing billions in volume across CFD, Crypto Spot, and Derivatives, Risk Tech is both the ultimate line of defense and a core driver of platform stability. As a Product Manager in this domain, you will drive the product strategy for real-time margin engines, exposure aggregation (A/B/C-book), microsecond anti-fraud protection, and portfolio risk management. You will act as the crucial bridge between Quantitative Analysts, Head of Risk & Dealing, and Systems Engineers building lock-free, low-latency backend architectures.

If you thrive at the intersection of quantitative finance, low-latency engineering, and capital protection, this role is for you.

Responsibilities

• Drive the product vision, technical roadmap, and PRDs for key areas within the Risk Tech domain (Margin Engines, Exposure Management, Anti-Fraud, Derivatives Risk, Stress Testing)
• Parter with Quants and the Head of Risk & Dealing to translate mathematical risk models (Monte Carlo, VaR, Volatility Surfaces) into deterministic algorithms for high-performance engineering teams
• Define edge-case handling rules for Black Swan scenarios, exchange de-pegging, and cascading liquidation events
• Collaborate with Dealing and Trading Ops teams to deliver high-performance internal admin tools, real-time risk monitors, and override APIs
• Conduct post-incident deep dives following major market movements to continuously optimize risk parameters and engine performance

Requirements

• 3+ years of Product Management experience in Risk Tech, Quantitative Trading, Crypto Derivatives Exchanges, or CFD Brokerages
• Deep knowledge of financial risk mechanics: Cross/Isolated Margin, Portfolio Margin, A/B/C-book operating models, Net Open Position (NOP) aggregation, and options risk metrics
• Solid understanding of low-latency backend architecture: lock-free concurrency, In-Memory data processing, IPC/Shared Memory, and financial protocols (FIX, WebSocket)
• Strong understanding of market microstructure, order book dynamics (L2/L3), matching engine mechanics, and liquidity bridging/routing

Will be a plus

• Proficiency in quantitative analysis concepts and data architectures: Python/SQL for risk modeling, time-series databases (ClickHouse), and Big Data processing
• Academic background in Quantitative Finance, Applied Mathematics, Computer Science, or Financial Engineering
• Practical familiarity with low-latency programming languages (C++, Rust, or C#)
• Direct experience with crypto-native liquidation mechanisms or options pricing models

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)