Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing and implementing risk models and conducting statistical analyses on transaction data with an accent on predictive modeling and big data technologies. Focus on automating repeatable analyses, building self-service tools, and utilizing large-scale embedding models to derive product insights.

Location: Hybrid in Washington, DC, USA (Expected to work from the office 2-3 set days a week, approximately 50% of the time).

Salary: $123,700–$191,300 USD per year

Company

hirify.global is a world leader in payments and technology, connecting consumers, merchants, and financial institutions across more than 200 countries.

What you will do

• Conduct model development and implementation for risk models and generate performance analysis at aggregate and issuer levels.
• Build and deploy complex predictive model packages for production, including ongoing monitoring and calibration.
• Drive analytic product development through statistical analyses on various data sources to create innovative insights.
• Identify opportunities to automate repeatable analyses or develop self-service tools for business users.
• Analyze transaction data using Hadoop, Cloud, and big data technologies to support product owners.
• Provide sound statistical and financial analysis to support sales and business initiatives.

Requirements

• Master's degree in Analytics, Statistics, Data Science, Computer Science, or a related field.
• Minimum 2 years of experience in a Data Scientist-related occupation.
• Proficiency in Python, SQL, and Git.
• Strong knowledge of Machine Learning, Deep Learning, NLP, and Predictive Modeling.
• Experience with Spark, Hive, and Large-scale Embedding Models.
• Must be based in the USA to support the hybrid office requirement in Washington, DC.

Culture & Benefits

• Comprehensive benefits package including Medical, Dental, and Vision insurance.
• Financial security through 401(k), FSA, and HSA.
• Paid Time Off and a dedicated Wellness Program.
• Flexible hybrid work model allowing for partial telecommuting.