Data Scientist

Who You Are

You are a data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real‑world business challenges faced by leading international financial institutions. 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 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 share Quantifind’s commitment to winning together and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers.

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.

Quantifind is the Risk Intelligence company. We help some of the world’s biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI‑driven SaaS solution with consumer‑grade user experiences. Quantifind’s Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques.

In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer, Customer Due Diligence, Fraud Risk Management, and Anti‑Money Laundering processes.

• Master’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
• At least 2 years of professional industry experience, in addition to your academic experience.
• Proficient in two or more of the following:
  Scala / Java, Python, R.
• Outstanding quantitative and analytical ability. Able to take less‑than‑precise business requirements and translate them into quantitative problems that you enjoy solving.
• In‑depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade‑off, regularization, dimension reduction, and model explanation.
• 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.
• Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively.
• Prior experience working with large‑scale datasets (Millions of records) using SQL and Spark.
• Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non‑technical audiences.

Quantifind is seeking to fill a Data Scientist position on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state‑of‑the‑art mathematical tools into the hands of end users. Members of the Data Science team translate real‑world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code.

Our team values a…