Blend is a data, analytics, and AI services company that helps organizations solve complex business problems through strategy, technology, and specialized talent. We connect experienced professionals with meaningful projects at leading companies across a range of industries.
Job DescriptionWe are seeking a Lead Business Analyst preferrably with Fraud Analytics experience to evaluate analytical models and coordinate their implementation into a production environment. This person will assess model performance, compare available models, help determine which models should be prioritized, and manage the work required to deploy them successfully.
This role combines data science, data modeling, project management, and analytics. It is not focused exclusively on building models from scratch or writing production code.
Responsibilities
- Evaluate analytical models and assess their performance.
- Compare models and help determine which should be prioritized for implementation.
- Coordinate model implementation and deployment activities.
- Manage timelines, requirements, deliverables, dependencies, and project progress.
- Work with data science, modeling, technology, and business teams.
- Analyze model results and translate findings into clear recommendations.
- Track model performance before and after implementation.
- Identify implementation issues and coordinate their resolution.
- Prepare reports and communicate findings to stakeholders.
Required Qualifications
- 3+ years of Data Science experience.
- 3+ years of Data Modeling experience involving model implementation, deployment, and evaluation.
- 3+ years of Project Management experience.
- 3+ years of Analytics experience.
Preferred Qualifications
- Experience with fraud analytics or fraud models.
- Experience building or deploying fraud detection rules.
- Payments or card-industry experience.
- Familiarity with Mastercard products or models.
- Financial services experience.
- Experience with card-network mandates and issuer-side implementation.
This role does not offer sponsorship, visa transfers, or C2C arrangements now or at anytime in the future.
Skills Required
- 3+ years of Data Science experience
- 3+ years of Data Modeling experience involving model implementation, deployment, and evaluation
- 3+ years of Project Management experience
- 3+ years of Analytics experience
- Experience with fraud analytics or fraud models
- Experience building or deploying fraud detection rules
- Payments or card-industry experience
- Familiarity with Mastercard products or models
- Financial services experience
- Experience with card-network mandates and issuer-side implementation
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
