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À propos
8-10 years of prior research, data science, or analytical modeling experience in the aforementioned domains and are familiar with: • statistical and technical tools for analysis (R, Python, SQL, SAS, Cognos, etc.) • automated machine learning tools (Matplotlib, RapidMiner, DataRobot) • retail banking or transaction processing industries
Strong quantitative background to perform daily statistical analyses and coding tasks and are fluent in: • risk analytics, pricing, risk modeling • pattern recognition or machine learning • data mining, manipulation, analysis, charting and other visualization and reporting tools • large data sets, working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Research mindset with bias towards action and have the ability to structure a project from idea to experimentation to prototype to implementation by • manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including normalized & de-normalized data • demonstrating a strong passion for empirical research and for answering hard questions with data • taking a flexible analytic approach that allows for results at varying levels of precision • can communicate complex quantitative analysis in a clear, precise, and actionable manner to nontechnical stakeholders
Driven and focused self-starter - great communicator - amazing follow-through - aggressively tackle your work and love the responsibility of being individually empowered.
What your DNA looks like. • Passion to win: Thrives in a competitive environment, does what it takes to be THE market leader • Communicative: Must have strong interpersonal skills and the ability to effectively present and explain information to internal and external clients • Resourceful: Resourceful, figure-it-out-and-get-it-done mentality. Ability to work independently in a team environment and help resolve any impasses during a project • Organized: Must be able to prioritize daily, weekly and monthly tasks and possess a "sense of urgency"
#LI-JW1
Compétences linguistiques
- English
Avis aux utilisateurs
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