Associate Data Scientist, Quantifind

$100-130k

Plus equity

SQL
Python
R
Scala
Java
Junior level
San Francisco Bay Area

Office located in Palo Alto, CA

Quantifind

Automated AML investigations

Open for applications

Quantifind

Automated AML investigations

21-100 employees

FintechB2BArtificial IntelligenceSecurityBig dataMachine LearningSaaSAPIData AnalysisAutomation

Open for applications

$100-130k

Plus equity

SQL
Python
R
Scala
Java
Junior level
San Francisco Bay Area

Office located in Palo Alto, CA

21-100 employees

FintechB2BArtificial IntelligenceSecurityBig dataMachine LearningSaaSAPIData AnalysisAutomation

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 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 existing expertise in fields such as statistics and computer science to solve mission critical problems
  • You are excited to work at a fast-paced startup where you will have a chance to expand your scientific and engineering skills into 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
  • MS or higher in the following areas: Statistics, Mathematics, or Computer Science
  • At least 1 year of professional industry experience, in addition to your academic experience
  • Strong programming experience in two or more of the following: Scala / Java, R, Python
  • 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
  • Strong analytical skills and the ability to communicate quantitative results to technical and non-technical audiences
  • Experience with Applied NLP methods such as Topic Modeling (LDA), Text Classification, Word Embeddings, Named Entity extraction is a strong plus
  • Experience with SQL
  • Basic knowledge of data structures and algorithm complexity

What the job involves

  • Quantifind is seeking to fill an Associate 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

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, showing the impressively high regard in which its solutions are held. It has also received considerable funding that is cited to expand its international presence, grow brand recognition, and continue to enhance its offerings.

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Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

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

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.

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