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.

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 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

About Quantifind

• You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions, helping them identify financial crimes
• 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

Responsibilities

• 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 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

Requirements

• 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 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
• 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

Preferred

• 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

Pay

USD 140,000 - 170,000