Quantifind

Who You Are

You are a full-stack 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 real impact.

Who We Are

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat adversarial foreign ownership and influence in critical industries. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. 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 SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. 

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What a Great Candidate Looks Like: 

• MS or higher in the following areas: Statistics or Mathematics
• At least 3 years of professional industry experience, in addition to your academic experience
• Strong programming experience in two or more of the following: Scala / Java, R, Python
• Outstanding quantitative analytical ability. Able to take less than precise business requirements and translate them into statistical problems which you enjoy solving.
• Experience defining metrics and experimental designs to assess business conjectures
• In-depth knowledge of Statistics / Probability / Machine Learning including core Statistical concepts such as hypothesis testing, estimation, and inference, and Machine Learning foundations such as bias / variance trade-off, regularization, dimension reduction, and model interpretation
• Experience with unstructured text data using NLP methods such as Named Entity Recognition, Topic Modeling, Large Scale Document Classification, and Word Embeddings
• Able to prototype state-of-the-art algorithms to solve key problems, so that our technology continues to advance
• A competent Engineer who is able to follow Software Engineering best practices to develop Machine Learning interfaces, such as building a common library or developing a prediction API with a focus on performance characteristics and scalability
• Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
• Experience with SQL and Spark

The Opportunity We Offer

Quantifind is seeking to fill a Full-Stack Data Scientist position in Palo Alto, California, 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 data science pipeline, bringing solutions from basic 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 in 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.

A highlight of 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

The California base salary range for this full-time position is $145,000 to $175,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!