Medical Researcher jobs in United States

Binance.US is America's home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, Binance.US offers some of the lowest fees in the industry and provides secure and reliable access to more than 160 of the world’s most popular cryptocurrencies. We’re on a mission to empower people to do more with their money. The new economy has arrived and we’re committed to helping everyone access the world of blockchain and crypto. To learn more about Binance.US , visit https : / / www.binance.us / .

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 is between AED50,000 - AED54,000 per month for all UAE-based remote locations. The actual base pay 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.

Binance.US is an Equal Opportunity Employer. Our mission is to give Americans 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 or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

Binance.US complies 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.

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