Data Scientist / Data Engineer, Fraud Modeling Team
Data Scientist / Data Engineer, Fraud Modeling Team
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Salary Not Disclosed
1 Vacancy
Job Description
Essential Functions
- Execute model development and performance 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
- Find opportunities to create and automate repeatable analyses or build self service tools for business users
- Support sales and business 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 for internal and external product owners and develop deeper insights into the products using advanced statistical methods
- Ensure project delivery within timelines and meet critical business need
- Promote big data innovations and analytic education throughout the Visa organization
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 set days a week (determined by leadership/site) with a general guidepost of being in the office 60% or more of the time based on business needs.
Qualifications :
Basic
- 2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred
- 3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
- A Masters Degree in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or Engineering
- Successful internships or 6 month of experience in a predictive modeling function
- Preference given to candidates with multiple years working experience in predictive modeling functions
- Candidates with a PhD in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or engineering preferred
- Strong background in two or more of the following areas: machine learning AI algorithms computations statistical learning theory scalable systems (e.g. Spark Hadoop) large scale data analysis optimization functional analysis and deep learning.
- Experience with a range advanced techniques and emerging approaches to big data and data science (Python Spark TensorFlow H2O Dask etc)extensive experience with SQL Hive for extracting and aggregating data
- Good oral and written communication skills and attention to details
- Must be a team player and capable of handling multitasks in a dynamic environment
- Visa and financial payment industry knowledge or previous experience with fraud modeling is a plus but not required
- Solid understanding of key concepts of deep learning models such as embedding CNN/RNN/Transformer Hidden States Attention Positional Encoding Batch Normalization Dropout Optimizers Loss Functions Hyperparameter Tuning etc.
- Functional Data Engineering skills: Experience working in Linux/Unix environment and exposure to command line utilities; Software Development experience in one or more of the following language: Python SQL Java Golang Rust and C/C; Handson experience working with large scale data ingestion processing and storage in the Hadoop ecosystem; Experience in writing and optimizing SQL queries in big data environment; Experience working with scheduling tools (Airflow ControlM) and building data processing orchestration workflows.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510% of the time.
Mental/Physical Requirements: This position will be 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.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116500 to $148500 per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
