Associate Data Scientist

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.

You’re 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. Demand for this solution is fueling our rapid growth.

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, 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

The Opportunity We Offer

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.

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 $100,000-$130,000. 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 pride ourselves on living our values. We are curious. We respect each other. We are proactively transparent. We relentlessly solve problems. We win together.

Will you join us? Apply now!