Lead and coordinate end-to-end fraud risk engagements, structure analytical solutions, guide analytics teams, communicate with clients and senior stakeholders, manage timelines, build fraud rules/governance, and identify additional client opportunities.
Role Overview:
- Emphasis is on coordinating & driving end to end delivery of project workstreams
- Coordination with partner teams including senior leadership for alignments
- Ownership of overall timelines and incorporation of feedback
- Structure analytical solution when required, to address business objectives
- Provide business acumen and hypothesis
- Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysis
- Presenting work directly to clients as required
- Liaison and build relationships with the client
- Exploration on additional opportunities within the client’s organization
- Partnering with other teams to identify appropriate solutions for clients
- Technical Skills Required: Familiarity with Hive, PySpark, SQL, Python, Machine Learning tools and Tableau / other data visualization techniques
- Familiarity with Fraud rule writing techniques and rule governance mechanisms
- Ability to bring thought leadership to build real time Fraud solutions through analytics or internal tools
- Superior analytical and problem solving skills
- People Manager
- Demonstrated leadership ability and willingness to take initiative
- Strong program management skills and ability to think abstractly deal with ambiguous/use defined problems
- Proficient in executive level communications – creating slides, decks and building data dashboards
- Outstanding written and verbal communication skills
Bachelor's/Master's in any stream 8+ years
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Fintech • Marketing Tech • Software • Financial Services
Lead end-to-end AI product discovery, prototype and ship working ML/AI solutions for HR, Marketing, and Commercial teams. Build first prototypes yourself, partner with engineers to productionize, define success metrics, and drive adoption and business impact.
Top Skills:
Claude CodeCodexCursorLovableN8NPgvectorPineconeReplitV0WeaviateZapier
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Lead advanced analytics and ML efforts to extract insights from large-scale historical data, design features and data representations for models and LLM/agentic systems, partner with product and engineering to build data pipelines and prototypes, evaluate AI workflows, and drive innovation through experiments and empirical analysis to inform product strategy.
Top Skills:
Agentic Ai SystemsAws-Native Data And Ml StackBigQueryData PipelinesEmbeddingsFeature EngineeringGCPGraph DatabasesLarge Language Models (Llms)NoSQLRetrieval StrategiesSnowflakeSQLVertex Ai
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Lead client relationships and manage end-to-end BlackLine SaaS implementations: plan and execute project scope, schedule, budget and quality, assign tasks, mitigate risk, report financials, communicate with stakeholders, identify upsell opportunities, and ensure successful enterprise-level delivery.
Top Skills:
BlacklineEinvoicingErpOracleSaaSSAP
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
