Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Market Risk Analyst

FreedX
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

IT Security Analyst

Pricing Data Science Lead- SME

Senior Data Scientist - Pricing

Pricing Data Science Lead- SME

Pricing Data Science Lead- SME

Who We Are 

FreedX is a newly established cryptocurrency exchange dedicated to providing a seamless, secure, and innovative trading experience. Our team comprises experienced professionals from the crypto, finance, and technology sectors, all passionate about driving the future of digital finance. At FreedX, we are committed to creating a platform that empowers our clients with the freedom to manage their digital assets confidently and efficiently. 

   

Our Vision:  

At FreedX, our vision is to be the most trusted and reliable cryptocurrency exchange, offering unparalleled freedom and scalability to our clients. We aim to build a platform where users can trade and manage their assets with complete peace of mind, knowing that their security and reliability are our top priorities. We strive to continuously innovate and adapt to the evolving needs of the crypto market, ensuring that our clients have access to the best tools and services to achieve their financial goals. 

Join us on our journey to redefine the standards of digital asset trading and experience the freedom, reliability, and scalability that FreedX has to offer. 

 

Job Summary:  

We are seeking a highly motivated and detail-oriented risk specialist to join our Risk Management team at FreedX, a leading cryptocurrency exchange. As a part of risk management team, you will play a senior role in supporting the development and implementation of our risk management framework, with a focus on quantitative analysis and risk modelling. You will work closely with the Head of Market Risk and other stakeholders to identify, measure, monitor, and manage risk exposures, ensuring the firm's risk appetite and regulatory requirements are met. 

Key Responsibilities: 

  • Quantitative Analysis:Conduct quantitative analysis of market risk exposures using tools such as Value-at-Risk (VaR), Expected Shortfall (ES), stress testing, simulation and scenario analysis. 
  • Risk Model Development:Assist in the development and maintenance of real time risk models, including statistical models and machine learning algorithms, to enhance the accuracy of market risk assessments. 
  • Data Analysis:Collect, analyze, and interpret large datasets (low latency) to identify trends, patterns, and anomalies that may impact market risk exposures. 
  • Collaboration:Work closely with trading, market-making, product, compliance, and risk teams to ensure effective risk management practices are in place following processes and procedures. 
  • Market-Making/Prop Trading Support:Provide support to the market-making and prop trading teams on derivatives products and assist in the development of risk management features for these activities. 
  • Research and Development:Stay up to date with the latest research developments, conferences, literature in quantitative finance and risk management, and show evidence to apply this knowledge to our team 

Requirements

  • Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Engineering or a related quantitative field. 
  • At least 5 years of experience in quantitative analysis, risk management, or a related field, with a strong background in financial and cryptocurrency markets. 
  • Proficiency in programming languages such as Python, R, or Matlab, and experience with risk management systems, quantitative analysis and visualization tools. 
  • Strong understanding of traditional, derivatives and cryptocurrency markets. 
  • Excellent analytical and problem-solving skills, with the ability to work under pressure and deliver deadlines. 

 

Preferred Attributes: 

  • Knowledge of programming languages such as Python, R, or MATLAB, and experience with libraries such as NumPy, pandas, and scikit-learn. 
  • Professional certifications such as PhD, FRM, PRM, or CFA.  
  • Excellent English communication skills, with the ability to articulate complex risk concepts to both technical and non-technical stakeholders.  
  • Ability to adapt quickly to changing market conditions and regulatory requirements.  
  • Knowledge or experience with market-making or prop trading on spot or derivatives cryptocurrency market, with a focus on risk management and mitigation strategies. 

Benefits

What We Offer:

Competitive salary and performance-based discretionary bonuses,

Flexible work schedule, hybrid/remote work opportunity

Generous paid leave

Opportunity for professional development, participation to industry events

FreedX is an equal opportunity employer. We stand for an open and inclusive work environment that fosters the well-being of everyone. We embrace and encourage differences in age, colour, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our people unique.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.