Senior Data Scientist, Client Insights

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.

Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year.

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The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of data scientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud. 

Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter.

At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we’ve only just begun to take advantage of. As a Senior Data Scientist on the Client Insights team, you will be spearheading business-critical efforts. 

Your responsibilities will be to:

• Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes.
• Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining.
• Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products.
• Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain.
• Partner with engineering and product leads to provide guidance and leadership in roadmap planning.
• Anticipate future support and maintenance overhead for the data-driven features and models you've built.
• Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively.
• Conduct bespoke analyses and research for new customer use cases that support future development of data science products.

You are:

• Building with the end solution in mind.
• Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work.
• Able to build strong cross-functional relationships within Alloy.
• Naturally curious with a knack for asking tough questions.
• A team player. You believe that big things happen when the right people are working together.
• Humble. Mistakes happen and owning them helps us learn and move on quickly
• Product-oriented. You have a desire to understand Alloy's business, strategy and priorities to help guide future product development

You have:

• 6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models.
• 2+ years experience leading projects
• Advanced proficiency in scripting languages like Python and querying languages like SQL
• Experience with classification, clustering, regression, and time series models.
• Experience working with unbalanced data sets
• Experience building models from scratch, iterating, and owning projects end to end.

Nice to Haves:

• Professional experience in fraud detection
• Experience with AWS SageMaker
• Experience using: Airflow, Spark, Dbt, Git, Hex, Looker

Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!

This position has a salary range of $165,000 to $200,000. 

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
• 401k with 100% match up to 4% of annual employee compensation 
• Eligible new parents receive 16 weeks of paid parental leave 
• Home office stipend for new employees
• Annual Learning & Development annual stipend
• Well-being benefits include access to ClassPass, OneMedical, and Spring Health 
• Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office.

We're a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us?

Apply right here. You've found the application!

Alloy is proud to be an equal opportunity workplace and employer. We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.

All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you’re ever unsure, please contact us directly via our website before sharing personal information.