Senior Data Analyst
Singapore, Central Singapore, Singapore
Applications have closed
QCP
Large volume trading in volatile markets requires personalised solutions, round-the-clock support and unparalleled execution. We offer a range of tailoredEstablished in 2017, QCP is one of the first digital asset trading firms in Singapore, with a vision to partner the next generation of investors to unlock institutional opportunities in digital assets.
QCP brings to clients deep expertise gained from thriving through multiple market cycles. A global market maker in digital asset derivatives with a vast network of liquidity providers and counterparties, we are shaping the future of digital asset markets through greater access and efficiency.
We offer a range of tailored derivatives and spot trading as well as structured solutions to institutional, professional and accredited investors. We also provide 24/7 liquidity across various markets in partnership with various exchanges and platforms.
QCP is headquartered in Singapore and is supported by a strong team of professionals in trading, business development, operations, risk and compliance teams.
Our in-house publications track the constantly evolving state of digital assets and markets, and can be accessed on our Telegram (t.me/QCPbroadcast), website (qcpgroup.com), Twitter (@qcpgroup) and LinkedIn.
Are you a data expert with a keen interest in AI/ML? We're seeking a Senior Data Analyst who is passionate about leveraging data to drive strategic decision-making. In this role, you'll have the exciting opportunity to architect the future of our data infrastructure and analytics solutions.
Responsibilities
- Design, construct, install, test, and maintain data management systems
- Ensure systems meet business requirements and industry practices
- Integrate up-and-coming data management and software engineering technologies into existing data infrastructures
- Develop and implement advanced statistical techniques to solve complex problems, extract actionable insights to drive data-driven decisions, and improve processes to achieve business goals.
- Translate business requirements into data modeling and visualization, build data pipelines if necessary
- Utilize AWS cloud services for efficient data handling and analytics, propose usage of data warehouse, and business intelligence tools, and integrate with existing platforms and workflows
Requirements
- At least 3 years of experience working in a relevant role
- Bachelor’s or MSc from a renowned University in a related field
- Proven experience in data analysis and experience with big data tools (Hadoop, Spark, Kafka, etc.)
- Strong knowledge of AWS cloud services and database technologies
- Proficient in SQL, Python, and other programming languages
- Excellent analytical skills to work on complex, cross-functional projects
- Ability to translate business requirements into non-technical and technical terms
- Bonus:
- Design, develop, and operate data pipelines to provide high-quality datasets for analytical and AI/ML use cases
- Demonstrate a strong numerical aptitude and a comfort level working with extensive datasets
Benefits
The Environment We Offer
As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.
Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.
We also provide flexible working arrangement as required and a casual and fun environment to boot!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Data analysis Data management Data pipelines Data warehouse Engineering Hadoop Kafka Machine Learning Pipelines Python Spark SQL Statistics
Perks/benefits: Career development Flex hours
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