Risk Protection Analyst

At Exness, we are not just a leading trading broker—we've reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide. 

Recognised globally as a Best Place to Work, we're a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

The role is based in our Limassol office, Cyprus.In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

The Risk Protection Analyst will be dedicated to minimizing risk exposure and enhancing the profitability of the company's product. The role involves conducting risk assessments, developing mitigation strategies, and supporting initiatives aimed at preventing fraud and ensuring the integrity of operations.

• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Formulate hypotheses, conduct experiments (A/B testing, backtesting), and recommend data-driven improvements.
• Continuously monitor key metrics, business performance, and market dynamics to uncover optimization opportunities.
• Develop solutions to protect the company from abusive behavior, increase profitability, and reduce risk.
• Manage the full lifecycle from problem identification to solution implementation.
• Research new abuse techniques and emerging threats, adapting detection methods accordingly.
• Monitor and ensure the quality and effectiveness of anti-abuse solutions.
• Collaborate with operational and monitoring teams to research and investigate suspicious patterns.
• Build and maintain analytical tools, reports, and dashboards to support business units and stakeholders.

• Degree in Mathematical Science or a related field
• Higher education (advanced degree) is preferred
• Minimum 5 years of experience in:
  • Data and risk analysis
  • Quantitative research
  • Working with large datasets, algorithms, and data structures
• Experience in anti-fraud functions within the financial sector is an advantage
• Technical proficiency in:
  • Programming languages: Python, R
  • SQL and database management
  • Statistics, mathematical modeling, and machine learning
• Soft skills: Strong analytical and problem-solving abilities, pragmatic decision-making, effective presentation and communication skills, integrity, sense of ownership, and collaborative mindset
• Collaboration with cross-functional teams, including:
  • Research & Development
  • Risk Management
  • Trading
  • Security
  • Relevant product teams

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• "Get to know Team" trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

At Exness, we know that changing jobs - and changing countries - is a big step. That's why relocation with Exness is different. We make it smooth, supported, and truly life-changing.

1. Intro call with Recruiter (30 minutes)
2. English check (if needed)
3. Tech interview (90 minutes)
4. Behavioural interview (60 minutes)

What it's like here

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Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.