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 • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Lead strategy, roadmap, and execution for Coursera's authoring and content production tools. Define product requirements, collaborate cross-functionally (Engineering, Design, Data Science, Research, Content, Marketing, Support), monitor production/ingestion metrics, and drive AI-enabled authoring innovations to scale high-quality, career-aligned content.
Top Skills:
Adaptive LearningAi/MlAutomated Quality AssuranceContent Authoring ToolsData AnalyticsGenerative AiHypothesis TestingMultimodal Media ProcessingPersonalizationTranslation Technology
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead strategy, engineering, and lifecycle management for enterprise directory and machine identity platforms. Own Active Directory, Entra ID, PKI/CLM (e.g., Venafi), HSMs, hybrid identity integrations, automation/IaC, resilience, and governance while driving platform roadmaps, modernizations, and cross-functional IAM collaboration.
Top Skills:
Active DirectoryAPIsAzureCertificate Lifecycle ManagementDevsecopsDnsEntra IdGroup PolicyHsmIdentity FederationIdentity SynchronizationInfrastructure As Code (Iac)Microsoft Entra IdPkiSaaSScriptingVenafi
Biotech
Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.
Top Skills:
Ai ToolsCRM
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
