At Spiking, we are passionate about stock markets investing, data and advanced analytics. Our people consist of the best talent in the industry who have come together and are always pushing the boundaries of what is possible. We hire people with a broad set of technical skills who are ready to tackle some of financial technology's greatest challenges.
Why Spiking
As a financial investors focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Spiking team. We believe in hiring the best and cultivating a culture of collaboration and appreciation. We offer competitive salary, employee stock options, accelerated growth in responsibility and experience, move fast culture.
We are looking for a Data Scientist Engineer with an interest in machine learning, data engineering, and statistical mindset who enjoys solving stocks market problems.
You will play a key role in building a next-generation big data analytics for retail investors around the world.
Responsibilities
- Work with various teams to plan, collect, clean and process data from multiple stock exchanges.
- Identify new data that could be useful in providing improved insights for stakeholders.
- Work with data engineering to build tools to allow stakeholder to query & visualize the data.
- Analyzes large data set, generates working hypothesis, and develops statistical models to derive actionable insights and recommendations.
Requirements
- Strong knowledge of data warehouse, infrastructures, and big data technologies
- Strong knowledge of machine learning, data mining algorithms, and statistics
- Proficient in SQL, Python (or R)
- Experience in solving real data science problems (working experience, Kaggle, or similar competition experience is a plus)
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- Company:
Spiking - Designation:
Data Scientist Engineer - Profession:
IT / Information Technology - Industry:
Computer and IT, Finance