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 are passionate about maintaining the high scientific and engineering standards required to enable your peers.
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 looking to explore a client-facing role at the intersection of software and consulting.
You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions, helping them identify financial crimes.
You have always been a strong critical thinker and know how to problem solve.
You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations.
You are comfortable working closely with Sales, Product, and Technology teams to promote a Customer Centric culture.
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.
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.
Who We Are
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 software-as-a-service (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 (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
Today, these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
What a Great Candidate Looks Like
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.
The Opportunity We Offer
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 creative and empathetic approach to problem-solving and strives to maintain rigorous scientific and engineering standards.
We will give you the opportunity to work on the full spectrum of data science challenges, bringing solutions from research all the way to production.
Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C.
Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.
Our Benefits
Competitive salary
Company Equity
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
A fun environment where work-life balance is valued