Engineer II

Job description

Come make a big digital impact .
The Global Risk Technology organization within American Express, is responsible for developing risk models and assessing risk in any of the new initiatives helping American Express at the enterprise level to deliver world-class Analytics, Insights and Analysis Products for the Global Risk Technology portfolio.

You will be part of the team, that is challenged with designing and creating world class risk models by leveraging machine learning and advanced methodologies. The person will provide contribution to the team in every single aspect, but primary focus will be on the Java and/or Spark implementation of custom developed machine learning models. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Risk Technology portfolio at American Express

As a Developer at American Express, you'll be part of a team that's leading the innovation at enterprise level, using the big data computing technologies and operating across millions of customers and billions of customer transactions to unleash the big opportunities that help American Express and its customers have unique and smoothest experience, save money and time.

Full-time technology opportunities are available in
Phoenix, AZ; Ft. Lauderdale, FL

Join the team and hit the ground running .
· Primary focus on building machine learning models from development through testing and validation.
· Collaborate with other technology and data ingestion teams to study the existing models and add valuable insights to improve models.
· Ability to perform thorough research and evaluate new analytical models as well as deep dive into existing models.
· Understanding the data, needs of the business requirements and performing data quality operations before developing the model.
· Quantitatively determining value and deriving insights, then assuring the insights are leveraged to create positive impact to decision science models and early warning signals.
· Use big data tools such as Hadoop, Spark, Hive, R, etc. to manage the analysis of millions of customers and billions of customer transaction records.

We have the know-how, creative platform and global reach to make nearly any idea a reality. Do these describe you?

Talent Attributes:

· Passion for machine learning, model development and coding.
· Ability to identify opportunities to adopt innovative technologies.
· Hunger to learn new technologies and translate them into working software
· Ability to effectively communicate with internal and external business partners.
· Creative and digital mind-set.
Skills / Experience Needed:
· Strong knowledge of machine learning algorithms and concepts such as feature engineering, regression analysis, clustering, decision trees, neural networks, recommendation engines, natural language processing and their implementation.
· Strong programming skills are required. Experience with JAVA, R, BIG DATA PROGRAMMING LANGUAGES (SPARK, MAP-REDUCE, HIVE), SAS.
· 1-2 years of experience with Data Science and model development.
· Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results.
· Demonstrated ability to work independently and across a matrix organization partnering with decision sciences, business, technology teams and external vendors to deliver solutions at top speed.
· Knowledge and Experience in API development is a plus.
· Familiar with Agile or other rapid application development methods.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue Visa sponsorship for these positions.

Desired profile

Educational Requirements:
·  Master's Degree in a Quantitative field, e.g., Computer Science, Mathematics, Finance or Engineering, PhD or MBA with Quantitative background is a plus by June 2017.

About Us
American Express' heritage was built on service and has been sustained by innovation. Through our evolution from an express mail business in 1850, to one of the world's largest card issuers by purchasing volume and a digital innovator, we've never been afraid to explore new possibilities and embrace the changing marketplace.

From our high employee Satisfaction ratings to our many workplace awards, American Express is consistently recognized as a great place to work by people around the world. We offer talented individuals challenging work with purpose by embracing both innovation and tradition. As our company has grown and evolved, sometimes reinventing our business outright, we have never strayed from the customer-service ethos and values on which the company was built –trust, security, integrity, quality, good citizenship, respect and customer commitment.

Learn more about our Technology groups at American Express by visiting: https://careers.americanexpress.com .