FSRC-R and CT-RCT-PYTHON-AML-KYC-FRAUD-MANAGER
Ernst Young · Bengaluru · onsite · Posted 1d ago
Undisclosed3–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Role overview
Mandatory eligibility
Key responsibilities
Deliverable ownership
Team management and leadership
Mandatory technical skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Lead the delivery of data, cloud, and AI-enabled Financial Crime solutions for global financial services clients. This Manager role combines technical depth with delivery leadership, stakeholder management, team development, and end-to-end ownership. The successful candidate will shape solutions across KYC, AML, Transaction Monitoring, Sanctions, and Fraud while remaining close enough to the technology to guide architecture, review critical designs, resolve delivery risks, and assure quality.
Role overview
We are seeking an experienced Manager with strong Python and advanced SQL capability, practical cloud and AI delivery experience, and broad Financial Crime Compliance knowledge. The role owns outcomes from discovery and estimation through design, build, testing, deployment, transition, and production stabilization. It also includes team leadership, work planning, governance, financial oversight, client communication, and development of reusable assets and delivery standards.
Mandatory eligibility
Candidates must have 8 or more years of relevant professional experience, including hands-on Python, advanced SQL, cloud, AI, and Financial Crime Compliance domain experience. Candidates below 8 years or without any mandatory capability are not eligible.
Key responsibilities
- Lead end-to-end delivery of Financial Crime technology workstreams, programs, or managed-service outcomes.
- Own solution scope, delivery plans, milestones, dependencies, risks, issues, quality, resource needs, and stakeholder commitments.
- Provide technical direction for Python applications, advanced SQL solutions, cloud architecture, data pipelines, APIs, analytics, and AI components.
- Translate KYC, AML, Transaction Monitoring, Sanctions, and Fraud requirements into scalable technical solutions and delivery roadmaps.
- Partner with compliance SMEs, product owners, architects, engineering teams, data teams, model-risk stakeholders, QA, infrastructure, and operations.
- Lead design reviews, code and SQL quality reviews, architecture decisions, defect triage, performance tuning, release readiness, and production stabilization.
- Ensure appropriate security, privacy, auditability, explainability, data lineage, model governance, monitoring, and regulatory-control considerations.
- Drive automation, reusable components, engineering standards, knowledge assets, and continuous improvement across the delivery lifecycle.
- Prepare and present status, decisions, risks, dependencies, and recovery plans to senior client and internal stakeholders.
- Support proposals, solutioning, effort estimation, staffing, capability development, and account growth activities.
Deliverable ownership
- Accountable for agreed deliverables, acceptance criteria, delivery schedule, quality, and business outcomes across assigned workstreams.
- Build and maintain integrated delivery plans covering requirements, design, data readiness, engineering, testing, deployment, transition, and support.
- Establish governance routines, delivery metrics, RAID management, change control, escalation paths, and executive reporting.
- Validate estimates, capacity, sequencing, dependencies, and release scope; act early on slippage, quality gaps, or unresolved decisions.
- Ensure traceability from business and compliance requirements to technical design, test evidence, deployment artefacts, and operational handover.
- Coordinate cross-team dependencies and secure timely sign-offs from business, compliance, technology, model-risk, security, and operations stakeholders.
- Own defect closure, production-readiness checks, go-live decisions, warranty support, and lessons learned for assigned deliveries.
Team management and leadership
- Lead multidisciplinary teams of software engineers, data engineers, analysts, QA professionals, and domain specialists.
- Define team structure, roles, goals, operating model, work allocation, and individual accountability for delivery outcomes.
- Provide regular coaching, technical mentoring, feedback, recognition, and career-development support.
- Monitor capacity, utilization, skills coverage, onboarding, knowledge transfer, succession needs, and delivery continuity.
- Foster a collaborative, inclusive, quality-focused environment with clear standards for ownership and communication.
- Resolve delivery conflicts, remove blockers, manage escalations, and support sound decisions under competing priorities.
- Identify capability gaps and create targeted upskilling plans across Python, SQL, cloud, AI, and Financial Crime domain knowledge.
Mandatory technical skills
- Python: Strong hands-on experience designing and reviewing production-grade Python solutions, including object-oriented design, data processing, APIs, testing, logging, exception handling, security, and performance optimization.
- Advanced SQL: Expert-level capability in complex joins, common table expressions, window functions, stored procedures, query optimization, large-volume analysis, reconciliation, data profiling, and investigation queries.
- Cloud: Mandatory delivery experience with Microsoft Azure, AWS, or GCP, covering solution design, deployment, data services, security, monitoring, integration, scalability, and operational support.
- AI: Mandatory practical experience delivering AI or machine-learning capabilities, including generative AI or predictive analytics, model or prompt evaluation, API integration, responsible AI controls, security, explainability, and production monitoring.
- Engineering leadership: Ability to guide architecture, review code and designs, define standards, oversee CI/CD, manage non-functional requirements, and resolve complex technical issues.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationBatch processingActimizeapisadvanced sqlamazon web servicescase managementapache airflowChange ControlAnalyticsAnomaly DetectionCapital MarketsArchitectureAzure Data FactoryAmlAi SolutionsMicrosoft AzureAPI IntegrationArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
About
At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.
Industries
Management Consulting
Employee ratings
10 reviews
3.4/ 5
Culture
1.9
Career growth
2.3
Work-life
2.5
Employees rate it well for
Job Security36Skill Development35
Find them on