Senior Trading Analyst

Markets don't care about working hours. When a liquidity provider changes terms or a new instrument goes live, the analysis has to be right—and it has to be fast. Your job: build the trading analysis skills that let Deriv make smarter decisions, faster. You'll learn what drives market behaviour, what our trading conditions look like under pressure, and how to turn messy data into recommendations people actually act on. The analysis you contribute feeds risk frameworks that protect real money and trading conditions that serve 3 million customers worldwide. Why This Matters Deriv has operated in online trading for 25 years. The quality of what traders experience—spreads, liquidity, instruments—traces directly back to the quality of the analysis behind it. Bad analysis means bad trading conditions. Bad trading conditions mean worse outcomes for traders. That chain is short and it's direct. We're also an AI-first business. AI tools are already embedded across trading analysis—streamlining data processing, flagging anomalies, surfacing patterns humans would miss. You'll use them from day one, and you'll get better at them over time. Your work here isn't preparing for something. It's contributing to something already in motion. Why Deriv You'll develop through real work, not internal rotations. Within your first year, you'll be running market analysis that informs live decisions—not preparing slides for someone else's meeting. You'll work with people who know this domain deeply. The team you're joining has built and managed risk frameworks across multiple asset classes and regulatory environments. That knowledge is available to you. We're AI-first across every function. Trading analysis at Deriv uses AI tools to cut through data volume and sharpen insights. You won't be stuck building spreadsheets from scratch. You'll learn how to work with AI as a genuine force multiplier. You'll see the results of your work. Recommendations you produce get reviewed, debated, and often acted on. When trading conditions improve or a risk is caught early, you'll know if your analysis had something to do with it. What You’ll Do You'll contribute to trading analysis across some of these areas, with senior guidance on the complex cases: Market monitoring Track market trends and liquidity conditions across our core instruments. Flag changes that matter, with enough context to explain why they matter. Trading conditions analysis Analyse spread data, execution quality, and liquidity provider performance. Help identify where conditions can be improved and where risk is building. Backtesting support Run structured backtesting analyses on trading strategies and instrument parameters. Learn to spot what the data is actually telling you versus what it looks like on the surface. Risk framework contribution Support the development and maintenance of risk management SOPs. Build familiarity with how frameworks are structured and why they're designed the way they are. Reporting Use AI tools and SQL to build clean, accurate reports for internal teams. Own the accuracy of your outputs—catch errors before they reach the people relying on them. Liquidity provider research Support relationship research and analysis to help identify optimal trading conditions. Understand the commercial and operational factors that drive provider decisions. As you develop, you'll take on more complex analysis independently and start helping to onboard whoever joins the team next. Who You Are You have 1–3 years of experience in trading analysis, financial markets, or a related analytical role within a regulated entity. You hold a degree in mathematics, finance, economics, or a related field. You understand the theory—now you want to apply it in a real trading environment. You know your way around data. You're comfortable with SQL and data analysis. You catch your own mistakes before anyone else does. You've done some backtesting, whether in a formal role or on your own. You understand the difference between a backtest that tells you something and one that tells you what you wanted to hear. You communicate clearly in English, written and spoken. You can explain what the data says without losing the people who didn't build the model. You're comfortable with AI tools—or genuinely ready to learn. You see technology as a way to do better analysis, not a threat to your job. You solve routine problems independently. When something doesn't add up, you dig until you understand it. You ask good questions and share what you find. You go beyond the task when the team needs it. L2 means your scope extends to others—not just yourself. You're already thinking about how to make the person next to you more effective. The Honest Reality The trading desk moves fast, and market conditions don't give you a warning before they shift. Some weeks you'll be working with incomplete data, under time pressure, and responsible for analysis that informs decisions with real financial consequences. You'll make mistakes. What matters is that you catch them before they propagate, own them clearly, and fix them properly. This isn't a role where the problems are defined and the methods are handed to you. Guidance is real and available—but so is the expectation that you'll develop judgement over time, not just execute instructions.