Data Scientist - Fraud Strategy

Straive; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health, dental and wellness benefits

Continuous learning opportunities inAI

Collaborative work environment

Job summary

Straive is seeking a Data Scientist in the Fraud Strategy team to drive migration initiatives and parity validation across fraud rules engines and data sources. You will work extensively with BigQuery and Jupyter notebooks to compare legacy and modern systems, identify discrepancies, and document root causes.

You will join the Fraud Analytics team to investigate, mitigate, and monitor fraudulent activity, collaborating with risk, operations, and compliance to strengthen defenses and reduce

Qualifications

• Bachelor’s degree in engineering, technology, CS or a related quantitative field.
• 3+ years of data analytics experience in fraud prevention or risk management.
• Experience with fraud mitigation across multiple fraud types.

Responsibilities

• Migrate and validate parity across fraud rules engines and data sources.
• Leverage SQL on BigQuery and Jupyter notebooks to analyze fraud data pipelines.
• Identify root causes, document thresholds, and propose mitigation plans.
• Collaborate with ML team to evaluate model performance and impact.
• Develop monitoring reports and dashboards for leadership.

Skills

Python

SQL

BigQuery

Jupyter Notebook

Fraud Mitigation

Data analysis

Communication

Education

Bachelor's degree in Engineering / Technology / CS

Tools

BigQuery

Jupyter

Job description

Straive is 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 EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We 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, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com/

Location: San Francisco, CA or New York, Chicago,IL( Hybrid)

Job Type

Full-Time

Role Overview

As a Data Scientist in the Fraud Strategy team, you will focus primarily on migration initiatives and parity validation across fraud rules engines and data sources. Working extensively in BigQuery and Jupyter notebooks, you will compare legacy and modern system behaviors, isolate discrepancies, document root causes, and support high-priority loss-reduction initiatives alongside full-time fraud strategy analysts.

As a member of the Fraud Analytics team, you will be responsible for identifying, investigating, and mitigating fraudulent activities using advanced data methodologies:

• Core Analytical & Comparison Tasks: Compare outputs of two systems or data sources that should behave the same, isolate the differences, and document root causes and thresholds.
• Technical Stack Execution: Leverage heavy SQL on BigQuery and Jupyter notebooks to query,manipulate, and validate complex fraud data pipelines and rule logic.
• Strategy & ML Collaboration: Investigate suspicious transactions to determine root causes. Be comfortable working alongside an ML team and experienced in evaluating model performance.
• Fraud Assessment & System Development: Conduct in-depth assessments on evolving trends (including merchant fraud, first-party, and third-party fraud). Design and implement fraud rules within workflow systems and build comprehensive monitoring reports.
• Stakeholder Management: Generate high-impact reports and presentations for management, outlining risks, incidents, and effective mitigation strategies.
• Cross-Functional Collaboration: Partner with Risk, Operations, and Compliance teams to strengthen the overall fraud prevention ecosystem.
• Market Intelligence: Stay ahead of industry trends, regulatory shifts, and global best practices to continuously refine fraud prevention strategies.

Technical & Professional Skills

• Domain Expertise: Proven experience in Fraud Mitigation, First-Party Fraud, Transactional Fraud, Merchant Fraud, and Digital Fraud Detection.
• Technical Stack: Proficiency in Python and SQL on BigQuery and Jupyter notebook experience,then experience with rules management (reading, comparing, and translating rule logic).
• Analytical Rigour: Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance standards.
• Communication: Ability to distill complex data insights into clear, concise, and actionable presentations for leadership.
• Mindset: Detail-oriented with a proactive approach to problem-solving and a strong collaborative spirit for cross-functional success.

Qualifications

• Education: Bachelor’s degree in Engineering, Technology, Computer Science, or a related quantitative field.
• Experience: 3+ years of dedicated data analytics experience specifically within fraud prevention or risk management.

What We Offer

• Competitive salary and performance-based bonus plan.
• Health, dental, and wellness benefits.
• Continuous learning opportunities in modern AI and cloud-based financial platforms.
• Collaborative and growth-oriented work environment.

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”