Quantitative Risk Analyst

Who we are

We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.

We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.

Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.

Our culture

Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.

That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.

About the role 

We are seeking an analytical and detail-oriented Risk Analyst to join our Risk Management team. This role involves developing and applying mathematical models and statistical techniques to assess and manage financial risks. 

Reporting line: Head of Risk

Worksite: Remote 

Responsibilities:

• Proactive daily monitoring and evaluation of risk metrics across all product areas and provide regular reporting on key risk indicators (KRIs), and ensuring alignment with business objectives.
• Collaborate on project management and new process set-up for risk related processes, including specifying requirements for future IT development, automation, and control enhancement.
• Collaborate with relationship managers, trade desk, business operations teams and compliance teams to integrate risk considerations into business decisions, including contributing to the education of these teams with regards to risk management.
• Develop, implement, document, and maintain risk models (e.g., margin/leverage models, VaR, stress testing, scenario analysis).
• Analyze and interpret large data sets to identify trends, correlations, and risk exposures.
• Validate existing models and perform back-testing to ensure accuracy and reliability.
• Conduct ad hoc analysis for risk events, client requests and emerging market conditions.
• Conduct counterparty side credit risk analysis and develop credit risk framework.
• Monitor of industry trends and practices to ensure timely implementation of new requirements and best practices, particularly concerning margin requirements and models.
  
  

Requirements:

• Bachelor’s or Master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Physics, Computer Science, Economics, or a related field.
• Minimum 1-3 years of experience in quantitative risk analysis or related roles within financial services.
• Coding experience in Python, Matlab, R or similar languages. 
• Good knowledge of statistical techniques, VaR, time series analysis, and stress testing approaches.
• Familiarity with financial products (e.g., derivatives, fixed income, equities).
• Experience with risk systems and data platforms (e.g., Bloomberg, RiskMetrics, SAS, SQL).
• Strong analytical and problem-solving skills.
• Excellent communication skills (both written and verbal).
• High attention to detail and a commitment to accuracy.

• Competitive salary that reflects your experience and the value you bring.
• Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best.
• Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle.
• A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way.
• Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry.
• Connection beyond your desk — events that bring our teams together to network and celebrate.
• Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.

EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.

We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.

Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.