At a Glance
- Tasks: Use data science techniques to assess compliance risks and improve operations.
- Company: Join Binance, the leading global blockchain company revolutionising cryptocurrency adoption.
- Benefits: Gain hands-on experience, network with professionals, and develop transferable skills in a dynamic environment.
- Why this job: Be part of a transformative industry and contribute to the future of finance.
- Qualifications: Must be a current student or recent graduate with skills in SQL and Python.
- Other info: This is a full-time internship with opportunities for growth in the Web3 space.
The predicted salary is between 36000 - 60000 £ per year.
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.
Who May Apply
- Current university students and recent graduates
Responsibilities
- Employ a variety of data science techniques to assess and mitigate compliance risk.
- Analyze and interpret data to extract statistical insights that guide decision-making and operational improvements.
- Design, maintain, and deploy ETL/ELT pipelines to monitor transactional and KYC data.
- Develop and maintain dashboards to monitor the health of various compliance systems.
- Communicate insights and proposals clearly and confidently with senior stakeholders.
Requirements
- Undergraduate or postgraduate background in business data analytics, computer science or a related field.
- Hands-on experience with SQL and Python, with a strong ability to build analytical dashboards.
- Excellent written and verbal communication skills in English to be able to coordinate with internal and external stakeholders.
- Capable of creating clear documentation and presentations.
- Strong sense of ownership, with a collaborative, hands-on approach to problem-solving.
- Ability to work effectively in cross-functional teams and adapt to a fast-paced, evolving environment.
Binance Accelerator Program - Data Scientist: Compliance Systems & Control employer: Binance
Contact Detail:
Binance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Binance Accelerator Program - Data Scientist: Compliance Systems & Control
✨Tip Number 1
Familiarise yourself with the latest trends in compliance systems and blockchain technology. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in the blockchain and data science sectors. Attend relevant meetups or webinars to connect with potential colleagues and mentors who can provide insights and possibly refer you to opportunities at Binance.
✨Tip Number 3
Brush up on your SQL and Python skills by working on real-world projects or contributing to open-source initiatives. This hands-on experience will not only enhance your technical abilities but also give you concrete examples to discuss during interviews.
✨Tip Number 4
Prepare to articulate your problem-solving approach clearly. Think of specific instances where you've successfully tackled challenges using data analysis, as this will resonate well with the collaborative and hands-on nature of the role at Binance.
We think you need these skills to ace Binance Accelerator Program - Data Scientist: Compliance Systems & Control
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Binance. Familiarise yourself with compliance systems and data science techniques relevant to the role.
Tailor Your CV: Customise your CV to highlight your experience with SQL, Python, and any relevant data analytics projects. Emphasise your ability to communicate insights clearly, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the blockchain industry and your understanding of Binance's mission. Mention specific experiences that demonstrate your problem-solving skills and teamwork in fast-paced environments.
Proofread Your Application: Ensure that your application is free from grammatical errors and typos. A polished application reflects your attention to detail and professionalism, which are important traits for a Data Scientist.
How to prepare for a job interview at Binance
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with SQL and Python during the interview. Be prepared to discuss specific projects where you built analytical dashboards or worked on ETL/ELT pipelines, as this will demonstrate your technical proficiency.
✨Communicate Clearly
Since the role involves communicating insights to senior stakeholders, practice articulating your thoughts clearly and confidently. Use examples from your past experiences to illustrate how you've effectively communicated complex data findings.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss scenarios where you've tackled compliance risks or operational challenges. Highlight your collaborative approach and how you worked within cross-functional teams to find solutions, as this aligns with the company's values.
✨Understand the Company and Industry
Research Binance and the broader blockchain industry before your interview. Being knowledgeable about their mission and current trends in cryptocurrency will show your genuine interest in the role and help you connect your skills to their needs.