Data Scientist, Quantifind
$145-175k
Plus equity
Office located in Palo Alto, CA
Automated AML investigations
Open for applications
Automated AML investigations
21-100 employees
Open for applications
$145-175k
Plus equity
Office located in Palo Alto, CA
21-100 employees
Company mission
To help customers leverage powerful AI and disruptive science to automatically discover hidden criminal and financial risk.
Role
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
- You are a curious and independent problem solver who is motivated to find a place where your skills can have real impact
- 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
What the job involves
- 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
- We will give you the opportunity to work on the full data science pipeline, bringing solutions from basic research all the way to production
Our take
The global cost of money laundering stands in the trillions of dollars, with related fines costing businesses billions a year. Quantifind aims to help combat this with automated risk decisions and anti-money laundering investigations, freeing up clients' security teams to focus on the biggest threats.
Quantifind's AI-driven "Graphyte" platform encompasses GraphyteSearch, a web-based investigation application, plus GraphyteAPI for integration, and GraphyteBatch that enables users to submit large numbers of queries at once. Altogether this allows the platform to act as a one-stop-shop for AML, delivering value across the whole risk mitigation process.
At the end of 2022, Quantifind was named one of the most innovative companies in the industry by Fintech Global, after signing 4 of the largest banks in the world, showing the impressively high regard in which its solutions are held. It received $23 million in funding in 2023 to expand its international presence, grow brand recognition, and continue to enhance its offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Mar 2023
$23m
EARLY VC
Jan 2021
$22m
EARLY VC
Total funding: $91.3m
Company benefits
- Meaningful equity to full-time employees
- Performance reviews conducted twice per year, with opportunities to advance
- Collaboration across departments - there’s always an opportunity to work on the projects you care most about
- Flexible hours and a flexible vacation policy
- Remote or in-office options
- We encourage people to hone their crafts by taking classes and attending conferences
- We pay 95% of your premiums with top medical, dental and vision plans for you and your family, plus other benefits including FSAs and life insurance
- We match employee retirement contributions dollar-for-dollar up to 4% after your first year
Company values
- We are curious.
- We respect each other.
- We are proactively transparent.
- We relentlessly solve problems.
- We win together
Company HQ
Downtown North, Palo Alto, CA
Articles
Leadership
Ari Tuchman
(CEO & Co-Founder)Founder and Chairman of Entanglement Technologies. Former Research Scientist at Stanford.
John Stockton
(Co-Founder)Has worked as a Physicist at Entanglement Technologies, and was a Postdoc at Stanford.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 3 more jobs at Quantifind