Senior Payments Analytics & Fraud Specialist

Artemis-Consultants

San Jose (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Artemis-Consultants seeks a hands-on Senior Analyst with deep payments analytics experience to drive insights in San Jose. You will analyze transaction data, identify fraud patterns, and partner with product, risk, and business stakeholders to improve authorization rates and reduce losses.

The role requires strong SQL and Tableau skills, plus experience in fraud analytics and experimentation. Hybrid work in the San Jose area is available.

Qualifications

  • 5+ years of analytics experience in payments, including credit/debit and fraud.
  • Experience with cross‑functional stakeholders in product, risk, and biz teams.
  • Strong SQL proficiency with complex joins and window functions.
  • Hands‑on Tableau experience for dashboards and visualization.
  • Exposure to Python/R or similar for advanced analytics.

Responsibilities

  • Analyze large-scale transaction data to identify fraud patterns and payment risks.
  • Develop, refine, and monitor fraud rules to reduce losses while minimizing customer friction.
  • Build dashboards and reports on fraud and payment performance for leadership.
  • Collaborate with product, engineering, operations, and data science teams on risk controls.
  • Conduct root-cause analyses of fraud incidents and payment anomalies; recommend actions.
  • Support experimentation and measure impact on fraud loss and customer experience.
  • Stay current on industry fraud trends and regulatory considerations.

Skills

SQL
Tableau
Analytics problem solving
Fraud analytics
Communication

Education

Bachelor’s degree in quantitative field
Master’s degree is a plus

Tools

Python
R

Job description

COMPANY OVERVIEW:

The company a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by a top private equity firm, they drive innovation through significant investments and an entrepreneurial spirit.

They focus on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, they deliver material impact on clients' topline and streamline their operations. They specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, they have a global presence to enables them to offer localized expertise with a worldwide perspective.

POSITION OVERVIEW:

We are seeking a strong, hands-on Senior Analyst with deep experience in the payments space to join the Analytics team in San Jose. This role will focus on driving insights and strategies across credit/debit card payments and fraud, partnering closely with product, risk, and business stakeholders.

You will use your expertise in SQL, Tableau, and analytical problem solving to identify trends, diagnose issues, and recommend data-driven solutions that improve authorization rates, reduce fraud losses, and enhance customer experience.

RESPONSIBILITIES:

  • Analyze large-scale transaction, user, and behavioral data to identify fraud patterns, emerging attack vectors, and payment risks.
  • Develop, refine, and monitor fraud strategies, rules, and policies to reduce losses while minimizing customer friction.
  • Build and track key fraud and payment performance metrics (e.g., chargeback rates, false positive rates, approval rates, loss rates).
  • Partner with product, engineering, operations, and data science teams to design and implement fraud controls and payment risk solutions.
  • Conduct deep-dive investigations into fraud incidents and payment anomalies; provide clear root-cause analysis and recommendations.
  • Support experimentation (A/B tests, rule changes, model deployments) and measure impact on fraud loss, customer experience, and operational cost.
  • Create clear, concise dashboards and reports for stakeholders and leadership, highlighting trends, risks, and opportunities.
  • Stay current on industry fraud trends, tools, and regulatory considerations relevant to digital payments and e-commerce.

PREFERRED PROFILE:

  • 5+ years of total analytics experience in the payments space (India + USA experience both count), ideally within card networks, issuers, acquirers, PSPs, or large fintechs.
  • Strong domain exposure to credit/debit card payments; fraud/risk analytics experience strongly preferred.
  • Advanced proficiency in SQL (complex joins, window functions, performance optimization).
  • Strong hands-on experience with Tableau (or similar BI tools) for dashboarding and data visualization.
  • Proven track record in at least one of the following areas:

○ Modelling (risk/fraud/propensity/segmentation)

○ Business Intelligence / Reporting

○ Strategy / Product Analytics

  • Demonstrated ability to structure ambiguous problems, perform rigorous analysis, and drive to clear recommendations.
  • Strong communication skills with the ability to influence cross-functional stakeholders.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent practical experience.
  • Experience in a global payments or large-scale fintech environment (e.g., card networks, major banks, PSPs).
  • Familiarity with fraud tools, risk decision engines, or chargeback processes.
  • Experience with experimentation (A/B testing) and causal inference methods.
  • Exposure to Python/R or similar for advanced analytics or modeling.
  • A master's degree in a quantitative discipline is a plus.

Personal Attributes Desired:

  • Data-driven, detail-oriented, and intellectually curious.
  • Comfortable working in a fast-paced, evolving environment.
  • Collaborative mindset with the ability to work effectively across functions and geographies.
  • Ownership mentality and bias for action; able to drive initiatives from concept to execution.

LOCATION:San Jose, CA (Hybrid)

Job ID# 3601349

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