Fraud Business Intelligence Analyst at Vana

Argentina

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Banking, InsuranceIndustries

Requirements

Bachelor's degree in Economics, Computer Science, Statistics, Engineering or related quantitative field [MUST]
2+ years of experience in data analysis, or business intelligence within the fintech, insurance, or banking industries [MUST]
Hands-on experience in fraud detection, rule design, and investigation of suspicious behavior [MUST]
Proficiency in SQL [MUST]
Experience with BI or monitoring tools (Tableau, Looker, Datadog, or similar) [MUST]
Experience using Python for analysis [DESIRABLE]
Strong analytical skills and a problem-solving mindset, with the ability to extract actionable insights from data [MUST]
Self-motivated learner who thrives in fast-paced environments [MUST]
Understanding of consumer behavior, alternative data sources, and digital lending platforms [DESIRABLE]

Responsibilities

Monitor fraud indicators and identify anomalies or emerging patterns across markets
Investigate suspicious cases and define new preventive rules based on findings
Perform exploratory analysis using SQL and Python to generate insights and improve detection accuracy
Track fraud KPIs (fraud rate, FPR/FNR, conversion impact) and generate reports and dashboards for internal monitoring
Collaborate with cross-functional teams (Credit, Compliance, Data Science, Engineering) to ensure alignment and operational impact
Document rules, investigations, and outcomes to build institutional fraud knowledge
Proactively propose improvements, automation ideas, and new data sources for detection

Skills

Key technologies and capabilities for this role

SQLPythonTableauLookerDatadogfraud detectionrule designdata analysisBI toolsKPIs

Questions & Answers

Common questions about this position

What qualifications are required for the Fraud BI Analyst role?

Candidates must have a Bachelor's degree in Economics, Computer Science, Statistics, Engineering or related quantitative field, 2+ years of experience in data analysis or business intelligence in fintech, insurance, or banking, hands-on experience in fraud detection, rule design, and investigation, proficiency in SQL, experience with BI or monitoring tools like Tableau or Looker, and strong analytical skills.

Is Python experience required for this position?

Python experience for analysis is desirable but not required.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of work environment can I expect at Vana?

The role offers a dynamic and collaborative environment where you'll work closely with the Fraud Manager, Data Science, and Engineering teams in a fast-paced setting.

What opportunities for growth are available in this position?

The role provides professional growth and development opportunities through mentorship and hands-on experience, along with exposure to cutting-edge fintech technologies.

Vana

Decentralized platform for personal data management

About Vana

Vana operates a decentralized platform that allows individuals to manage and monetize their personal data. Users can control what information they share, with whom, and how much they earn from it. This platform is designed for those who are aware of their digital footprint and want to benefit from their data, including tech-savvy individuals and privacy advocates. Vana differentiates itself by creating an open ecosystem where users can own their digital identities and engage in transactions with data buyers, earning money in the process. The company's goal is to promote a more equitable data economy, ensuring that individuals are rewarded for their personal data while fostering a community where users can thrive.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$24.3MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, Crypto & Web3Industries

11-50Employees

Benefits

Competitive base salary

Health insurance, dental and vision

Flexible work schedule

Unlimited PTO

Risks

Emerging competition from platforms like Ocean Protocol could dilute Vana's market share.

Regulatory scrutiny on data privacy may impose additional compliance costs for Vana.

Volatility in cryptocurrency markets poses financial risks to Vana's transaction values.

Differentiation

Vana empowers users to monetize their data through decentralized autonomous organizations (DAOs).

The platform offers data portability, allowing users to control data across multiple services.

Vana's community-focused approach rewards users for contributing data, enhancing user engagement.

Upsides

Vana secured $200M in funding, indicating strong investor confidence in its model.

The rise of DataDAOs creates new opportunities for user engagement and monetization.

Growing interest in data privacy boosts demand for Vana's decentralized data management solutions.

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