Remote Cryptocurrency Jobs in Portland, OR (NOW HIRING)

About Binance.US: 

Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes (Best Crypto Exchanges of 2026) and Business Insider (Best Crypto Exchanges of 2025), Binance.US leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

About This Role:

The Senior Data Scientist - Risk is part of the Data & Analytics team and reports to our Director of Product Analytics. As Senior Data Scientist - Risk, you will be responsible for development of advanced risk models to combat financial crimes and safeguard user funds. As project priorities evolve, you will have the opportunity to collaborate across different teams, including Risk, Compliance, Marketing, and Product, to drive data-driven insights and solutions that contribute to the growth and safety of the platform.

Core Responsibilities:

• Build ML Based Fraud and Risk models to reduce risk related loss and increase pass rate.

• Develop and foster a rigorous data-driven culture within the Risk & Compliance teams.

• Design and analyze A/B experiments to evaluate the impact of changes and the risk models deployed.

• Create new risk signals that would result in detecting fraud, transaction monitoring and identifying malicious trading activity.

• Define, measure and consistently improve all essential monitoring metrics for the Risk & Compliance.

• Provide technical leadership to the rest of the Risk & Compliance teams.

• Design and build tools for the Risk team that help to automate processes and facilitate smart decision making.

• Conducting ad-hoc analysis to identify and mitigate risk and fraud.

• Collaborate with other teams like product to ensure swift implementation of risk modules.

• Upon the completion of key Risk-related initiatives, collaborate across teams, including Marketing, and Product, to tackle a variety of high-impact projects, addressing business needs and priorities as they evolve.

Preferred Skills/Experience:

• 6+ years in Data Science/Analytics and 3+ years prior experience in Financial Risk.

• Proficient with SQL and expertise with R or Python.

• Experience in building ML based Fraud and Risk models.

• Experience in designing and developing compelling data visualizations and dashboards.

• Excellent understanding of Risk Analytics and Fraud Models.

• Ability to translate complex data into actionable insights for a non-technical audience.

• Experience in a high-growth tech environment.

• A deep understanding of statistical concepts.

• Prior experience at a fintech company is a plus.

Salary:

The starting pay range for this role will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.

Our Mission:
At Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all.

Our Values:
Our values shape how we work, make decisions, and support our users every day:

• Act with Integrity: We do what’s right, even when no one is watching.

• Be Collaborative: We work together with respect and transparency to achieve shared goals.

• Customers First: We listen to, advocate for, and prioritize our users in every decision we make.

• Do the Work: We take ownership, follow through, and deliver results that move the mission forward.

• Embrace Change: We stay adaptable and curious, thriving in a fast moving industry.

Our Benefits:

We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.

• Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.

• Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.

• Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires.

• Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.

BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.

Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.