Fcc Domain SME

Job Description

The FCC Leader role focuses on transformation through data, predictive AI, generative AI and AI agents for banking and financial services clients.
The ideal candidate brings first- and second-line FCC business expertise and practical AI delivery experience, supported by strong data capabilities, compliance operations experience and third-line assurance knowledge. The role includes client leadership and FCC practice growth within Insights & Data.

Key responsibilities
•    Domain Leadership and Practice Growth: Proven expertise in FCC strategy, AI-first solutions, GTM and senior client engagement. A track record of shaping pursuits and growing banking and financial services accounts.
•    Client Transformation and Solution Productization: Demonstrated experience modernizing FCC through predictive models, GenAI and governed agents. Experience productizing reusable solutions and data assets that improve detection, controls and operating efficiency.
•    Thought Leadership: Established capability to develop FCC and AI perspectives, present at industry forums and demonstrate practical solutions to financial services clients.
•    Talent Development: Proven ability to build and mentor FCC consultants, data specialists, AI engineers and data scientists across business design, data mapping, model evaluation and agent delivery.

FCC business expertise across the first and second lines
•    Proven expertise in FCC strategy, risk assessments, policies, controls and remediation, including translation of obligations and typologies into business requirements.
•    Deep knowledge of BSA/AML, counter-terrorist financing, KYC, CDD/EDD, beneficial ownership, sanctions screening, transaction monitoring and suspicious activity reporting. 
•    Broader knowledge of fraud prevention, insider misconduct, trade surveillance, insider trading, and anti-bribery and corruption.
•    Demonstrated experience with first-line customer acceptance, risk identification, controls, escalation and issue ownership; and second-line policy, advisory, oversight, monitoring, testing and effective challenge.
•    Strong understanding of FCC operating models, decision rights and accountabilities, with clear separation of control ownership and independent oversight.

FCC data knowledge and mapping
•    Proven expertise in source-to-target and field-level mapping across customer, account, beneficial owner, payment, transaction, screening, case and surveillance data, including identifiers, joins, transformations, reference data, reconciliation and exceptions.
•    Demonstrated ability to map obligations and typologies to controls, scenarios, data attributes and AI features, with traceability through AI outputs, human decisions and retained evidence.
•    Strong knowledge of entity resolution, customer hierarchies, master data, lineage, ownership, business glossaries, semantic models, ontologies and knowledge graphs.
•    Practical experience assessing training, testing and retrieval data quality, representativeness, labeling and leakage, including access, retention, privacy and residency requirements.

Job Description cont'd

AI strategy and practical model and agent experience
•    Prioritize FCC AI use cases by control effectiveness, value, data readiness, feasibility, risk and adoption needs, supported by business cases and roadmaps.
•    Demonstrable ability to select predictive ML, NLP, GenAI, retrieval-augmented generation (RAG), graph or agentic approaches for KYC/EDD, adverse media, sanctions, AML, fraud, surveillance and evidence-grounded SAR/STR support, with appropriate human judgment.
•    Proven expertise in defining model inputs, outputs, features, grounding sources, evaluation datasets and acceptance criteria, with practical knowledge of prompt design, retrieval quality and FCC integration.
•    Demonstrated experience designing agent workflows with controlled tool/API access, permissions, orchestration, human approvals, action logs, escalation and stop conditions.

AI governance and control effectiveness
•    Practical experience with AI intake, inventory, risk tiering, impact assessment and control mapping, including use case, model, system and agent cards with owners, limitations and approval evidence.
•    Proven expertise in controls for hallucination, unsupported conclusions, bias, explainability, prompt injection, data exposure and excessive agent permissions, including human review and autonomy limits.
•    Demonstrated ability to evaluate detection coverage, precision, recall, false negatives, groundedness, drift, agent completion and policy breaches, balancing false-positive reduction with missed risk and control quality.
•    Experience coordinating independent review, vendor diligence, approvals, change control, incidents, rollback and retirement with Compliance, Model Risk, Legal, Privacy, Security and Data Governance.
Compliance operations transformation
•    Demonstrated experience redesigning onboarding, periodic and event-driven reviews, screening, triage, investigations, case management and reporting, with clear handoffs and quality controls.
•    Proven expertise in translating operational needs into user stories, workflow rules, service levels and acceptance criteria.
•    Practical experience with domain validation, user acceptance testing, training and adoption of FCC data and AI solutions.
•    Demonstrated ability to improve investigation quality, turnaround, backlog aging and cost per case against baselines while maintaining control coverage and documentation.

Client delivery and FCC practice growth
•    Lead FCC discovery and solution workshops and communicate recommendations and business cases to senior stakeholders.
•    Manage scope, plans, estimates, dependencies, risks and quality across multidisciplinary FCC, data and AI teams.
•    Commercial experience supporting account growth, proposals, RFPs, demonstrations and engagement shaping within banking and financial services.
•    Established capability to develop reusable FCC assets, coach teams and support adoption from solution design through implementation.
Our ideal candidate:

Primary skills

15+ years in banking or financial services FCC, advisory or transformation; 5+ years leading workstreams or teams. First- and second-line experience, with deep expertise in at least two FCC domains.
•    Proven delivery of at least 2-3 FCC AI use cases through a controlled pilot or production, with responsibility for business design, model or agent evaluation, governance and measured results.
•    Strong data analysis and source-to-target mapping skills, with working SQL knowledge. Practical knowledge of FCC operations, independent assurance, AI/model risk governance, NIST AI RMF and ISO/IEC 42001.
•    Bachelor’s degree in finance, business, law, computer science, data science or a related field, or equivalent professional experience. 
•    Strong consulting, stakeholder management, executive communication and team leadership skills.
Preferred experience
•    Production FCC AI delivery, Python analysis or prototyping, and cloud data/AI experience, including model monitoring, registries or governance platforms.
•    Familiarity with NICE Actimize, Oracle FCCM, SAS, Quantexa or comparable platforms and their integration with customer, payments, data and case management systems.
•    Consulting, proposal development and reusable solution experience across banking and financial services sectors or jurisdictions.
•    CAMS, CGSS, CFE, CISA or AI governance certification; relevant advanced degree.

Success measures for this role
Controlled FCC AI adoption; stronger controls and operational quality; reliable data mappings and evidence; delivery performance and client satisfaction; qualified opportunities, reusable assets and team development.