Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Ecosystem Risk Programs is a Global Risk group that is tasked with the role of upholding the security and integrity of the payment ecosystem through the interdiction of illegal and fraudulent activity. This is achieved through the deployment of risk quality control and/or compliance programs. The programs are deployed through Visa Rules and additional client guidelines and Visa performs quality control leveraging proprietary tools, specialized third party vendors, regional risk teams, and other stakeholders. ERP also works with internal and external stakeholders to further its charter and initiatives.
This position is ideal for an experienced Senior Data Scientist who is passionate about collaborating with business and technology partners in solving challenging illegal and fraudulent activity. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem Risk Programs platform and defining tools and services that safeguard Visa’s payment systems.
The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries.
A successful candidate is a technical SME who can think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent data science and software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
Essential Functions
- As a senior data scientist in ERP team, you will help design, enhance, and build next generation fraud detection solutions in an agile development environment.
- Develop ongoing Management Information Systems (MIS) that provides oversight in Visa Ecosystem Risk Programs activity, including trends and discovery tool effectiveness.
- Translate business problems into technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
- Independently manage data science projects with minimal supervision, while collaboration with business and technical stakeholders
- Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
- Build needed data transformations on structured and unstructured data.
- Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
- Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
- Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
- Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
- Contribute to development and adoption of shared predictive analytics infrastructure
- Guide and manage other team members on the methodology for key solutions
- Able to work on multiple projects and initiatives with different/competing timelines and demands
- Effectively communicate status, issues, and risks associated with the projects in a precise and timely manner
- Mentor the India-based Risk COE team that is dedicated to MIS and Analytics for the program
- Build-out Visa Transaction Laundering Detection models, leveraging AI/ML, that are targeted to the various merchant activities covered under the program
Qualifications
Basic Qualifications:
- 6 or more years of relevant work experience with a Bachelor’s Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
- Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis
- Relevant exposure to modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
- Expert in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps
- Experience with Python, SQL, PySpark and Hive on data and analytics solutions
- Excellent understanding of algorithms and data structures
- Experience with data visualization and business intelligence tools like Tableau or Power BI
- Excellent analytic and problem-solving capability combined with ambition to solve real-world problems
- Excellent interpersonal, facilitation, and effective communication skills (both written and verbal) and the ability to present complex ideas in a clear, concise way
- Have great work ethics, and be a team player striving to bring the best results as a team
- Ability to work with internal product development and engineering teams to deliver products on schedule and with great quality. Comfortable in a heavily matrixed organization
- Strong analytical and problem-solving abilities, ability to use hard data and metrics to back up assumptions and evaluate outcomes
- Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment
- Outstanding communication and presentation skills
Preferred Qualifications:
- Experience with PySpark and Hive is a plus
- Real world experience using Hadoop and the related query engines (Hive / Impala)
- Extensive experience with SAS/SQL/Hive for extracting and aggregating data
- Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce
- Experience with Natural Language Processing and Deep Learning algorithms is a plus
- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus
- Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus
- Experience with data visualization and business intelligence tools like Tableau or Power BI
- Experience in developing large scale, enterprise class distributed systems of high availability, low latency, & strong data consistency
- Own delivery of multiple projects from technical requirements and quality assurance perspective.
- Ability to fully understand technical architecture, APIs and overall system design
- Experience in working with agile lifecycle and/or tracking and process management tools, e.g., JIRA
- Self-starter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity
- Demonstrated cross-functional competence, having led/coordinated teams across functional areas in large, matrixed organizations
- Flexible and creative thinker with strong execution skills, generate out-of-the-box solutions, manage ambiguity, anticipate the impact of decisions/initiatives and able to move seamlessly from high level concepts to details
- Strong hold on MS Excel and PowerPoint
Additional Information
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.
0 applies
5 views
Other Jobs from Visa
Staff AI Engineer
Staff AI Engineer/Scientist
Java Software Engineer
Java Software Engineer
Senior Fullstack Developer with Java
Senior Fullstack Developer with Java
Similar Jobs
Software Engineer (Data Engineering)
Sr Engineering Manager / (Shipping & Logistics Tribe)
Software Development Engineer
Senior Software Engineer, Distributed Systems
Lead Software Developer, GFT
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say