Data Scientist

Join Quantifind, a leading Risk Intelligence company that helps banks and government agencies identify money laundering and fraud. As a Data Scientist, you will work closely with the Product Management team and Platform engineers to solve real-world problems using state-of-the-art mathematical tools. You will have the opportunity to work on a variety of data science challenges and contribute to the success of the team. Quantifind offers a flexible work environment, meaningful equity, and opportunities for professional growth.

• Collaborate with Product Management and Platform engineers to identify company needs and implement state-of-the-art mathematical tools.
• Translate real-world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code.
• Work on the full spectrum of data science challenges, bringing solutions from research all the way to production.

• You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions, helping them identify financial crimes
• You’re looking to explore a client-facing role at the intersection of software and consulting
• You are passionate about maintaining the high scientific and engineering standards required to enable your peers
• You want to apply your expertise in statistics and computer science using Quantifind’s state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution, Document Classification, building Knowledge Graphs, and Topic Modeling
• You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team
• You are comfortable working closely with Sales, Product, and Technology teams to promote a Customer Centric culture
• You share Quantifind’s commitment to winning together and are eager to see your coworkers build on the technical foundations you will be creating
• You have always been a strong critical thinker and know how to problem solve
• Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have a real impact
• You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations
• You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions
• You are a data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer
• You are excited to work at a fast-growing company where you will have the chance to expand your scientific and engineering skills in new areas
• You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights
• Master’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field
• Outstanding quantitative and analytical ability. Able to take less-than-precise business requirements and translate them into Quantitative problems that you enjoy solving
• Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively
• In-depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade-off, regularization, dimension reduction, and model explanation
• At least 2 years of professional industry experience, in addition to your academic experience
• Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non-technical audiences
• Prior experience with Natural Language Processing (NLP) methods such as Word and Contextual Embeddings, Named Entity Recognition, Topic Modeling, large-scale Document Classification, and Sequence-to-Sequence Models is a significant plus
• Proficient in two or more of the following: Scala / Java, Python, R
• Prior experience working with large-scale datasets (Millions of records) using SQL and Spark