Trading Risk Analyst

We are looking for a Trading & Risk Analyst to research client trading behavior and market data, supporting the development and improvement of risk detection systems and analytical products for the broker.

This is a role at the intersection of Trading, Risk, and Data Analytics, with an opportunity to gradually develop toward Product Management.

Responsibilities

• Analyze trade-level, account-level, and client-level data, including PnL, exposure, volume, trading frequency, and holding time
• Research trading behavior, execution, and performance metrics to identify unusual or potentially risky patterns
• Formulate and test trading and risk hypotheses using historical trading data
• Investigate relevant risk patterns such as toxic flow, latency arbitrage, scalping, abnormal execution, markout, and slippage
• Support the development and improvement of risk products and analytical solutions by providing trading analysis, research, and domain input
• Monitor existing risk analytics and indicators, investigate changes in their behavior over time, and help identify areas for improvement
• Work with Data Engineering, BI, Quant, and Product teams on datasets, analytical tasks, metrics, and research initiatives
• Translate analytical findings into clear requirements, specifications, and inputs for further product and technical development
• Document research methodologies, analytical approaches, assumptions, metrics, findings, and relevant risk logic to ensure that work is reproducible and reusable by the team
• Prepare analytical materials and clearly communicate findings and recommendations to Product and Risk teams
• Gradually take ownership of individual analytical and risk-product initiatives

Requirements

• 1-3 years of hands-on trading experience or relevant professional experience in a trading environment, with demonstrated practical exposure to financial markets
• Hands-on experience with MT4/MT5, including a good understanding of trading, order, position, and execution workflows
• Good understanding of at least one financial market, such as FX, CFDs, futures, commodities, equities, or crypto
• Practical understanding of position, exposure, leverage, margin, spread, slippage, and PnL, and how these concepts relate to trading risk and broker economics
• Good understanding of trading performance and risk metrics, including drawdown, win rate, payoff ratio, profit factor, expectancy, Sharpe ratio, Sortino ratio, recovery factor, and volatility, with the ability to interpret them in the context of trading performance and risk
• Basic understanding of market microstructure, execution, and liquidity, with an interest in developing deeper expertise
• Basic understanding of statistical concepts such as distributions, sample size, outliers, statistical significance, and time-series behavior
• Ability to analyze trading data, formulate and test hypotheses, interpret trading metrics, and clearly explain analytical findings
• Confident use of Excel / Google Sheets

Will be a plus

• Experience developing, testing, or analyzing trading strategies
• Experience with algorithmic or systematic trading, including developing, testing, or analyzing automated trading strategies
• Experience with CQG, Thinkorswim (TOS), cTrader, DXtrade, Match-Trader, or similar trading platforms
• Experience with TradingView or similar market analysis platforms
• Understanding of A-Book / B-Book / STP models and basic broker risk economics
• Practical knowledge of market microstructure, liquidity, execution, and trading abuse patterns
• Experience analyzing client trading behavior or trading flows
• Experience contributing to or validating trading/risk detection rules
• Basic or intermediate SQL; Python is a strong plus
• Experience with Tableau, Power BI, Grafana, or similar BI tools

• Educational background in finance, economics, mathematics, statistics, or a related field

   

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)