Data Scientist, Risk
Ontario, Canada
Applications have closed
Binance.US
Binance.US is the crypto trading platform for US residents where you can buy, sell, and trade cryptocurrencies and alt coins with some of the lowest fees in the US. Start trading in minutes.We are seeking a Data Scientist to join the growing Risk Strategy team. This role offers an exciting opportunity to contribute to building a best-in-class risk team, risk management system and a culture of having a data driven mindset to support safe business growth and innovative new crypto products, while always putting customers first by delivering an amazing customer experience.
You will be helping build a foundation of data focused risk management by designing advanced analytical solutions to effectively and efficiently support the fast-paced growth while combatting evolving risk. You will have extreme ownership on the day-to-day management of monitoring and preventing emerging trends and identify opportunities to optimize risk decisions and automation.
What you will do :
- Design impactful visualizations using Tableau and proactively identify emerging trends and insights with a goal to ensure preventive risk mitigation.
- Identify short-term and long-term wins; quickly act by creating short-term solutions and follow through a framework of risk solution governance.
- Expert level analysis skills in the form of research, gap analysis, data mining, and data profiling
- Design reporting packages and alerting methodologies to highlight key results and opportunities.
- Ensure rigorous quality control over data management
- Leverage the Agile methodology to ensure alignment of roadmap and features to business priorities and value streams
- Collaborate cross-functionally and be a thought strategic partner
What will you bring :
- Data driven and customer focused mindset with a degree in quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or Engineering.
- 4+ years of experience in analyzing large, multi-dimensional data sets and turning them into actionable solutions.
- 2+ years of data analysis experience, preferably in Risk Management in Payments/FinTech/Credit industry
- Proficient in big data tools such as SQL/Hive/Spark
- Familiar with Python, Machine Learning, and Data Mining models
- Excellent communication skills, both written and verbal, to influence cross-functional teams
- Experienced in data modeling, machine learning algorithms, and data science techniques
- Be at ease in explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses
- Experience with big data architecture and pipeline, such as Hadoop and Hive is a plus
Who you are :
- Creative thinker who has strong analytical, critical-thinking skills.
- Awesome communication and talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action
- Highly organized, works well with others, and has a good attention to details.
- Not afraid to learn new things, has a growth mindset, and always thinking one step ahead
- Rock star and awesome team player
Binance.US complies with Federal Transparency in Coverage regulations by providing this link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.Kaiser Permanentewww.aetna.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data Computer Science Crypto CX Data analysis Data management Data Mining Economics Engineering Finance FinTech Hadoop Machine Learning Mathematics Python Research Spark SQL Statistics Tableau
Perks/benefits: Career development Health care
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