Job Description

Are you looking for a friendly, fast-paced workplace with an emphasis on providing real, visible impact to a variety of stakeholders? Snap Finance is a thriving leader in the financial services industry, and our team members are the foundation of our success. Snap knows that happy, empowered, and engaged team members are essential to innovation and business success - and our approach is working. Come join us!

Snap is seeking a motivated, self-driven and innovative analyst who has a passion for statistics, machine learning and developing solutions that drive company success. Position would include model development and deployment and compiling/analyzing data from multiple sources with the objective of enhancing insight into our marketing efforts, empowering stakeholders and broadening our influence in a rapidly growing market of alternative finance.

THE JOB…

• Mining, modeling, analyzing large datasets, and utilizing predictive modeling techniques with an emphasis on optimizing credit risk and analyzing customer behavior
• Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies
• Designing and implementing robust testing strategies to determine campaign performance
• Compiling appropriate data, applying multidimensional data aggregation and performing profile analysis to evaluate business impact
• Conducting required portfolio analyses incorporating project design, data collection and analysis, summarizing findings and presenting results in a way 'normal' people can understand
• Handling large volume of transaction level data utilizing your interpretive and problem solving skills to process and efficiently derive actionable results
• Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets and ultimately deliver insightful recommendations to stakeholders

YOU…

• Expertise in one or more modeling/machine learning programming languages such as R or Python
• Experience with classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest)
• Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees)
• Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling)
• Statistical analysis (e.g., Hypothesis testing, experimental design, hierarchical modeling, Bayesian and Frequentist methods)
• Familiarity with Marketing concepts and funnel visualization
• Ability to take data science projects from development to production
• Strong SQL skills
• Strong analytical and problem solving skills
• Curious data wrangling doer without fear of big, loosely defined problems
• Excellent communication skills with the ability to clearly explain technical topics to a non-technical audience
• Interest in interacting with "clients" to identify, define, analyze and present recommendations
• Team-oriented but being able to complete tasks independently at a high standard
• Structured, organized and detail-oriented
• Proactive, enthusiastic and flexible
• Fluency in English, both in oral and written form

SKILLS PREFERRED:

• Experience with additional programming languages such as C++, Java, C#
• Experience with Google Analytics and Hubspot data
• Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, NoSQL, Apache Spark)

EDUCATION REQUIRED:

• M.S. in a quantitative field such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance or other related field.
• B.S. in the fields described above will be considered if skill set and experience are robust

WHY YOU'LL LOVE IT HERE…

• Generous paid time off
• Competitive medical, dental & vision coverage
• 401K with company match
• Company-paid life insurance + supplemental options
• Company-paid short-term disability
• Long term disability and legal coverage
• Pet insurance, free snacks, and fun events
• A value-based culture where growth opportunities are endless

MORE…

Snap values diversity, and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Learn more by visiting our website at www.snapfinance.com