Data 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.

Your role at Exness:

To collect, process, and analyze data to generate actionable insights that support data-driven decision-making across the organization. The role involves identifying trends, uncovering patterns, and creating visualizations or reports to communicate findings effectively to stakeholders, driving improvements in operations, strategy, and performance.

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

You will:

• To define/improve metrics representing the product’s performance and operations efficiency
• Collect data from multiple sources, ensuring its accuracy and completeness.
• Clean, organize, and transform raw data into usable formats for analysis.
• To search for inefficiencies and suggest solutions
• To assess solutions through backtesting, A/B testing and modeling
• To know well the data landscape and collaborate with Data Engineers to improve it
  
  

What makes you a great fit:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2-4 years of hands-on experience in data analysis or a related field.
• Experience working in Agile environments or collaborating with development teams is a plus.
• Proficiency in SQL
• Strong knowledge of Python (pandas, visualization and ML packages)

Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

• Experience with Spark would be a plus
• Experience with Metabase and/or Grafana would be a plus
• Understanding of statistical methods, predictive modeling, and machine learning techniques.
• Ability to perform exploratory data analysis (EDA) and hypothesis testing.
  
  

Soft Skills:

• Acting as a team player
• Highly organized and rigorous thinker, able to solve problems diligently and creatively
• Detail-oriented and result-oriented individual
• Absolutely quick learner, able to work independently
• Able to adapt to constant requirement changes and produce fast solutions
  
  

What we offer along the way:

• 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

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• 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
• Meal and transport allowance
• Monthly wellness allowance for your sport or fitness of choice
• Holiday flight and accommodation coverage after 1 year of service
  
  

Your journey after applying:

• First interview (up to 30 minutes)
• English Assessment (if needed)
• Technical Interview (1 hour)
• Task Assessment (1 hour)
• Behavioral Interview (1 hour)
  
  

Sounds like you? Apply.

Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.