Lead 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 Lead Data Scientist to join the growing Risk Strategy team. This role offers anexciting opportunity to contribute to building a best-in-class risk team, risk management systemand a culture of having a data driven mindset to support safe business growth and innovativenew crypto products, while always putting customers first by delivering an amazing customerexperience.
You will be helping build a foundation of data focused risk management by designing advancedanalytical solutions to effectively and efficiently support the fast-paced growth while combattingevolving risk. You will have the opportunity to challenge the status quo, define and cultivate bestpractices in synthesizing insights into actionable solutions. You will also have the opportunity tolead and mentor data scientists and analysts.
What you will do :
- Design advanced analytical solutions to solve business problems; preprocess and perform exploratory data analysis on structured and unstructured data; create features and leverage predictive risk models and statistical analysis to predict outcomes and behaviors.
- Identify short-term and long-term wins; quickly act by creating short-term solutions and design long-term strategy by leveraging machine learning risk models.
- Conduct A/B testing when implementing new risk strategies or rolling out new product features.
- Help manage risk KPIs, and risk driven customer experience.
- Provide senior-level guidance and mentorship to more junior data scientists and analysts including reviewing projects, models, code for peers and junior team members.
- 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
- Ability to breakdown and detail the flow of data from origination to consumption.
- Assist with the implementation, assessment and standardization of toolkits for our data science teams.
What you will bring :
- Data driven and customer focused mindset with an advanced degree in quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or Engineering.
- 6+ years of experience in analyzing large, multi-dimensional data sets and turning them into actionable solutions.
- 4+ years of data analysis experience, preferably 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
- Advanced knowledge 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 :
- Data driven role model
- 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: A/B testing Agile Architecture Big Data Computer Science Crypto CX Data analysis Data Mining Economics EDA Engineering Finance FinTech Hadoop KPIs Machine Learning Mathematics Python Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Health care
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