Finance Internship, DataVisor

Part-time

Salary not provided
Excel
San Francisco Bay Area

Office located in Mountain View, CA

DataVisor

ML-powered fraud detection

Be an early applicant

DataVisor

ML-powered fraud detection

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Be an early applicant

Salary not provided
Excel
San Francisco Bay Area

Office located in Mountain View, CA

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.

Role

Who you are

  • We are seeking a motivated and detail-oriented intern to join our Finance Team for a three-month internship
  • This is an excellent opportunity for a current student in Data Science with a keen interest in Corporate Finance
  • Currently pursuing a MS degree in Data Science, Finance, or a related field
  • Strong proficiency in Microsoft Excel, including advanced functions (e.g., VLOOKUP, pivot tables, data visualization)
  • Familiarity with corporate finance concepts and principles
  • Excellent analytical and problem-solving skills
  • Ability to work independently and collaboratively within a team
  • Strong attention to detail and organizational skills
  • Effective communication skills, both written and verbal

What the job involves

  • You will gain hands-on experience in financial analysis, data management, and reporting while contributing to real-world projects
  • Assist in financial analysis and reporting, utilizing advanced Excel skills to manage and analyze data
  • Support the Finance Team with ERP migration including researching best practice on data storage of historical data from legacy ERP not migrated
  • Collaborate with team members on data-driven projects to ensure historical data is retained for due diligence, audits and accessible to provide insights or comparisons for financial decision-making
  • Prepare and present financial reports and dashboards to stakeholders
  • Perform ad-hoc financial analysis as needed

Our take

As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.

DataVisor has seen considerable investment - that will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.

Steph headshot

Steph

Company Specialist

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Dec 2022

$40m

LATE VC

Feb 2018

$40m

SERIES C

Total funding: $94.5m

Company benefits

  • Stock Options
  • Commuter Passes
  • Paid Time Off
  • Catered Lunch and Dinner
  • Team and Company Outings

Company values

  • Take a results-driven approach.
  • Prioritise team spirit and hard work.
  • Be honest, curious, and maintain the highest levels of integrity.

Company HQ

Mountain View, CA

Leadership

Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.

Fang Yu

(CPO)

Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.

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