Machine Learning Engineer, Commerce Fraud Risk (Modeling)
Company: Square Inc.
Location: San Francisco
Posted on: May 3, 2024
Job Description:
Machine Learning Engineer, Commerce Fraud Risk (Modeling)
- Full-timeIt all started with an idea at Block in 2013.
Initially built to take the pain out of peer-to-peer payments, Cash
App has gone from a simple product with a single purpose to a
dynamic ecosystem, developing unique financial products, including
Afterpay/Clearpay, to provide a better way to send, spend, invest,
borrow and save to our 47 million monthly active customers. We want
to redefine the world's relationship with money to make it more
relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across
office and remote locations, with a culture geared toward
innovation, collaboration and impact. We've been a distributed team
since day one, and many of our roles can be done remotely from the
countries where Cash App operates. No matter the location, we
tailor our experience to ensure our employees are creative,
productive, and happy.
Check out our locations, benefits, and more at cash.app/careers.
The Fraud Risk Team supports the commerce fraud risk strategy and
merchant risk teams with models and risk indicators to manage the
risk key metrics. We collaborate with multiple engineering teams to
create the capacity of serving next generation AI solutions.As a
Machine Learning Modeler on the Fraud Risk Team, you will be
responsible for developing and implementing machine learning models
to detect and prevent fraudulent activities. This role requires a
strong understanding of machine learning algorithms, data analysis,
and fraud detection techniques.You will:
- Develop, implement, and maintain machine learning models for
fraud detection.
- Analyze large datasets to identify patterns and trends related
to fraudulent activities.
- Collaborate with cross-functional teams to understand business
needs and develop solutions to mitigate fraud risks.
- Continuously monitor and evaluate the performance of machine
learning models, making adjustments as necessary.
- Stay up-to-date with the latest developments in machine
learning and fraud detection, and incorporate new techniques and
technologies into our processes as appropriate.
- Prepare and present reports on model performance and fraud
trends to stakeholders.You have:
- Bachelor's degree in Computer Science, Statistics, Mathematics,
or a related field. A Master's degree is preferred.
- 5+ years of experience in machine learning, data analysis, or a
related field.
- Proven experience in fraud detection and risk management.
- Strong knowledge of machine learning algorithms and data
analysis techniques.
- Proficiency in programming languages such as Python or
Java.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain
complex concepts to non-technical stakeholders.Technologies we use
and teach:
- Snowflake, DataBricks, GCP, AWS
- Classical classification / regression models. Deep Learning
including Sequential modeling, Graph modeling and Transformer based
modelsBlock takes a market-based approach to pay, and pay may vary
depending on your location. U.S. locations are categorized into one
of four zones based on a cost of labor index for that geographic
area. The successful candidate's starting pay will be determined
based on job-related skills, experience, qualifications, work
location, and market conditions. These ranges may be modified in
the future.
Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800To find a location's zone
designation, please refer to this resource . If a location of
interest is not listed, please speak with a recruiter for
additional information.Full-time employee benefits include the
following:
- Healthcare coverage (Medical, Vision and Dental insurance)
- Health Savings Account and Flexible Spending Account
- Retirement Plans including company match
- Employee Stock Purchase Program
- Wellness programs, including access to mental health, 1:1
financial planners, and a monthly wellness allowance
- Paid parental and caregiving leave
- Paid time off (including 12 paid holidays)
- Paid sick leave (1 hour per 26 hours worked (max 80 hours per
calendar year to the extent legally permissible) for non-exempt
employees and covered by our Flexible Time Off policy for exempt
employees)
- Learning and Development resources
- Paid Life insurance, AD&D, and disability benefitsThese
benefits are further detailed in Block's policies. This role is
also eligible to participate in Block's equity plan subject to the
terms of the applicable plans and policies, and may be eligible for
a sign-on bonus. Sales roles may be eligible to participate in a
commission plan subject to the terms of the applicable plans and
policies. Pay and benefits are subject to change at any time,
consistent with the terms of any applicable compensation or benefit
plans.We're working to build a more inclusive economy where our
customers have equal access to opportunity, and we strive to live
by these same values in building our workplace. Block is a proud
equal opportunity employer. We work hard to evaluate all employees
and job applicants consistently, without regard to race, color,
religion, gender, national origin, age, disability, veteran status,
pregnancy, gender expression or identity, sexual orientation,
citizenship, or any other legally protected class.We believe in
being fair, and are committed to an inclusive interview experience,
including providing reasonable accommodations to disabled
applicants throughout the recruitment process. We encourage
applicants to share any needed accommodations with their recruiter,
who will treat these requests as confidentially as possible. Want
to learn more about what we're doing to build a workplace that is
fair and square? Check out our I+D page .Additionally, we consider
qualified applicants with criminal histories for employment on our
team, assessing candidates in a manner consistent with the
requirements of the San Francisco Fair Chance Ordinance.Block, Inc.
(NYSE: SQ) is a global technology company with a focus on financial
services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we
build tools to help more people access the economy. Square helps
sellers run and grow their businesses with its integrated ecosystem
of commerce solutions, business software, and banking services.
With Cash App, anyone can easily send, spend, or invest their money
in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and
funds free, open-source Bitcoin projects. Artists use TIDAL to help
them succeed as entrepreneurs and connect more deeply with fans.
TBD is building an open developer platform to make it easier to
access Bitcoin and other blockchain technologies without having to
go through an institution.
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Keywords: Square Inc., Santa Clara , Machine Learning Engineer, Commerce Fraud Risk (Modeling), Engineering , San Francisco, California
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