Wednesday, July 27, 2016

Business Intelligence Analyst Facebook Menlo Park

Job Description: • 2-minute read •
Come join the team responsible for working on any and all things related to Payments Compliance on Facebook. As a member of the Facebook Payments Compliance Team, you will work on global BSA processes, such as OFAC-Sanctions, AML, and/or CDD/EDD programs. You will work collaboratively with a dynamic group of XFN stakeholders including but not limited to Legal, Product, Engineering, Finance and Marketing.
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You will help create innovative scalable compliance systems and processes to harness the "transactional" power of Facebook, Instagram, WhatsApp, Messenger and other Facebook companies. You will help Facebook Payments ensure that its compliance policies, internal controls and systems help Facebook in its mission to "make the world more open and connected." Facebook Payments Inc. (“Facebook Payments”) is committed to complying with Anti-Money Laundering/Counter-Terrorist Financing (“AML”/“CTF”) obligations imposed by federal, state, foreign, and other applicable laws. These governing laws and regulations may include without limitation the following: the Bank Secrecy Act (“BSA”); the USA PATRIOT Act of 2001 (“Patriot Act”); the rules and regulations overseen by the United States Department of the Treasury’s Office of Foreign Assets Control (“OFAC”); and other requirements applicable to registered money services businesses (“MSBs”). Regardless if you are aligned with more technical projects or people-oriented tasks, our team consists of creative thinkers that are excellent problem solvers. We work everyday on problems that no company has ever seen. To be successful on our team, you must be able to fully express complex solutions that you are not afraid to defend across a wide range of stakeholders including internal partners, regulators, and law enforcement. You are an expert in modeling techniques and methodologies and have experience training a vast array of models. You are someone who loves "big data." If given a vast database, not only would you find useful information in it, but you could organize it into beautiful charts that tell a compelling story. You might have majored in Economics, Math, Computer Science, Finance, Physics...really any field that had you designing experiments and running regressions. You are excited by the opportunity to make processes more efficient, accurate, and reliable.
Responsibilities

Our projects span the spectrum from finding patterns amongst fraud and money laundering schemes, analyzing data, and building models that will surface potentially illegal activity on our platform and reduce false positives.
You will also be responsible for training a team of analysts on general modeling techniques and help define the strategy for the next generation of compliance models.
At the end of the day, we are an investigations team, where you will be a crucial member in stopping the bad guys, meeting our regulatory requirements and keeping our communities safe.
You will be an enabler for the rest of the team and must have a proactive approach to spotting issues, solving problems and generally driving efficiencies across a range of processes
Requirements

A Bachelor's degree or equivalent practical experience
3+ years of professional experience, preferably in payments or risk
2+ years of statistical modeling experience
Experience in at least one scripting language (Python, PHP, etc.) or at least one statistical software (R, Tableau, SAS, SPSS, etc.)
Knowledge of SQL or equivalent preferred
Experience drawing actionable insights from data
Experience mentoring, coaching, leading or teaching non-technical people technical or analytical problem solving in an official capacity
Strong analytical and critical thinking skills
A good attitude, drive, passion, and curiosity
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