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  • ID
    #16717573
  • Job type
    Full-time
  • Salary
    TBD
  • Source
    Visa
  • Date
    2021-07-12
  • Deadline
    2021-09-10
 
Full-time

Vacancy expired!

Job Description

Visa has the world’s largest consumer payment transaction data set. We see data on over 100 billion transactions per year from all over the world.

Visa Predictive Models(VPM) team develops and maintains predictive machine learning models to primarily support Visa Global Data Products, Security and Identity Products, and Cardinal Commerce. Using mostly VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, smart marketing, credit underwriting and etc. Through our models and services, VPM fuels the growth of Visa clients, generates and diversifies revenues for VISA, greatly improving Visa Card customer experience and their financial lives.To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

Responsibilities:

· Execute model development,validationandperformance tracking for risk models; generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non-technical audience.

· Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models

· Propel analytic product development via conducting statistical analyses on various data sources; and add values to products by being innovative and applying the analysis

· Define financial and analytic metrics to measure development and production outcomes and produce performance reports

· Find opportunities to create and automate repeatable analyses

· Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands

· Conduct transaction data analyses with Hadoop/Cloud and big data technologies, and develop deeper insights into the products using advanced statistical methods

· Ensure project delivery within timelines and meet critical business needs

· Work on cross functional teams and collaborate with internal and external stakeholders

Qualifications

Basic Qualifications

· 8 years of relevant work experience with a Bachelor’s Degree or 5 or more years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

· 9+ years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3+years of experience with a PhD

· 6+ year of experience in developing statistical predictive models

· Prefer modeling experience in bankcard industry or financial service company

· Real world experience using Hadoop and the related query engines (Hive / Impala)

· High level of competence in Python, Spark and Unix/Linux scripts

· Hands-on experience with deep learning

· Proven ability of handing multi-tasks and problem solving skill

· Demonstrated intellectual and analytical rigor, strong attention to details and excellent business writing, verbal communication, and presentation skills

· Proficiency in Python data analysis and modeling

· Proficiency in SQL

· Proficiency in Spark

· Experience with script and shell programming in Unix/Linux

Additional Information

Work Hours:

This position requires the incumbent to be available during core business hours

Travel Requirements:

This position requires the incumbent to travel for work less than 5% of the time

Physical Requirements

This position, in future, maybe performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.

Universal acceptance for everyone, everywhere, is not only our brand promise, it’s the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients.

All your information will be kept confidential according to EEO guidelines.

Vacancy expired!

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