Alloy

About Alloy

Streamlining identity verification for fintech success

🏢 Finance👥 201-500 employees📅 Founded 2015📍 Greenwich Village, New York, NY3.6
FintechB2BSecuritySaaSIdentity

Key Highlights

  • Headquartered in Greenwich Village, New York, NY
  • Serves notable clients like Radius Bank and Aspiration
  • Fintech market growth rate of 25% annually
  • Offers unlimited PTO and 16 weeks of parental leave

Alloy is a leading identity verification platform specifically designed for financial institutions, helping them manage fraud, identity decisions, and regulatory compliance. Headquartered in Greenwich Village, New York, Alloy serves notable clients such as Radius Bank and Aspiration, capitalizing on...

🎁 Benefits

Alloy offers 16 weeks of parental leave, premium medical, dental, and vision plans, and a 401k with matching and immediate vesting. Employees enjoy un...

🌟 Culture

Alloy fosters a culture focused on innovation in the fintech space, emphasizing the importance of secure and efficient identity verification. The comp...

Alloy

Data Scientist Senior

AlloyNew York - Hybrid

Posted 1 month ago🏢 HybridSeniorData Scientist📍 New York💰 $165,000 - $200,000 / yearly
Apply Now →

Overview

Alloy is hiring a Senior Data Scientist for their Client Insights team to leverage analytics and machine learning in combating fraud and enhancing client policies. You'll work with technologies like SQL and Python to deliver impactful customer-facing tools.

Job Description

Who you are

You have 5+ years of experience in data science, focusing on analytics and machine learning — you've successfully implemented models that drive business insights and improve client outcomes. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively, ensuring data quality and integrity. You thrive in collaborative environments, working closely with cross-functional teams to translate complex data into actionable strategies. You are passionate about using data to solve real-world problems, particularly in the financial sector, where you understand the nuances of fraud detection and compliance. You are a strong communicator, able to present findings to both technical and non-technical stakeholders, ensuring that insights are understood and actionable. You are adaptable and eager to learn, always looking for new ways to enhance your skills and contribute to your team's success.

Desirable

Experience with data visualization tools like Tableau or Power BI is a plus, as is familiarity with cloud platforms such as AWS or GCP. A background in finance or fintech will help you understand the specific challenges faced by Alloy's clients.

What you'll do

As a Senior Data Scientist at Alloy, you will lead initiatives to enhance client insights through data-driven strategies. You will design and implement machine learning models that help clients detect fraud and optimize their policies. Collaborating with the Client Insights team, you will analyze client data to identify trends and provide actionable recommendations. You will also work closely with full stack engineers to develop customer-facing tools that leverage these insights, ensuring that they are user-friendly and effective. Your role will involve conducting experiments to validate model performance and iterating on solutions based on feedback and results. You will mentor junior data scientists, sharing your knowledge and fostering a culture of continuous learning within the team. Additionally, you will stay updated on industry best practices and emerging technologies, ensuring that Alloy remains at the forefront of data science in the financial sector.

What we offer

Alloy provides a hybrid work environment, fostering collaboration while allowing flexibility. You will have the opportunity to work with a diverse team of professionals dedicated to solving complex problems in the financial industry. We offer competitive compensation and benefits, including opportunities for professional development and growth within the company. Join us in our mission to empower financial institutions to combat fraud and serve their customers with confidence.

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