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Data Science/Analytics Lead
4 weeks ago
Job Description :
- A work environment that encourages collaboration and innovation.
- We consistently explore new technologies and tools to be agile.
- Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
- Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
- We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
- Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.
What you'll bring :
- Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
And, at least five (5) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
- Strong analytical, critical thinking, and creative problem-solving skills
- Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc
- Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools
- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
- Strong project management skills with the ability to manage multiple assignments effectively
- Ability to travel 10-20%
What we'd prefer to see :
- Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
- And, at least three (3) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
- Familiarity with credit bureau data and business practices
- Experienced in designing, developing, and deploying consumer credit models for the Financial Services industry
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