Global Transactional Fx Product Manager

Bank of America Bank of America · Banking · New York, NY +1

Product Manager for Global Transactional FX, leading product strategy, commercialization, and performance management for automated FX conversion suite (Auto-FX and AutoConvert). Owns end-to-end product lifecycle including client value proposition, financial performance, go-to-market, client servicing, and analytics/model capabilities. Partners with Sales, Trading, Technology, Operations, and Risk/Compliance. Responsibilities include defining product strategies, P&L management, driving commercialization, establishing support models, owning risk and controls, managing data science and model lifecycle, performing quantitative analysis, driving experimentation, and leading the platform roadmap with Technology and Operations.

What you'd actually do

  1. Own the Auto-FX and AutoConvert product strategies, including corridor/currency expansion, threshold and exclusion frameworks, channel adoption (e.g., SWIFT, host-to-host, API, online/mobile), and multi-year investment roadmaps aligned to GPS and Transactional FX priorities.
  2. Lead P&L management for the automated conversion portfolio: define financial targets, pricing/margin strategy, revenue attribution, cost-to-serve considerations, and performance reporting (revenue, notional, conversions, success rate, and client-level profitability).
  3. Drive commercialization and go-to-market execution: segment and prioritize targets, build sales plays and client-facing positioning, partner with Sales on pipeline governance, and deliver internal/external enablement (training, FAQs, pitch decks, webinars) to accelerate adoption.
  4. Establish the client servicing and support model for Auto-FX/AutoConvert: define SLAs, escalation pathways, issue triage routines, client communications, and feedback loops that protect client experience and enable quick remediation of mis-conversions.
  5. Own the risk and controls posture for Auto-Conversion product suite to: identify and mitigate operational, conduct, and model risks (e.g., incorrect conversions, disclosures, client complaints, exception handling); partner with Risk/Compliance and Operations on control design and testing, KRIs, issues management, and audit/regulatory readiness.

Skills

Required

  • Product management
  • FX product knowledge
  • Financial services
  • Data science
  • Analytics
  • Model management
  • Risk management
  • Commercialization
  • Go-to-market strategy
  • P&L management
  • Client servicing
  • Technology roadmap development

Nice to have

  • SWIFT
  • API
  • Host-to-host integration
  • Quantitative analysis
  • Experimentation and optimization

What the JD emphasized

  • model risks
  • model management
  • model lifecycle
  • model inventory
  • model objectives
  • model features
  • model Risk Management

Other signals

  • product strategy
  • commercialization
  • performance management
  • client value proposition
  • financial performance
  • go-to-market execution
  • analytics/model capabilities
  • FX product sales
  • client coverage
  • eFX
  • Trading
  • Technology
  • Operations
  • Risk/Compliance
  • resilient platform
  • client outcomes
  • corridor/currency expansion
  • channel adoption
  • investment roadmaps
  • P&L management
  • pricing/margin strategy
  • revenue attribution
  • cost-to-serve
  • performance reporting
  • segment and prioritize targets
  • sales plays
  • client-facing positioning
  • pipeline governance
  • internal/external enablement
  • training
  • FAQs
  • pitch decks
  • webinars
  • adoption
  • client servicing and support model
  • SLAs
  • escalation pathways
  • issue triage routines
  • client communications
  • feedback loops
  • client experience
  • remediation of mis-conversions
  • risk and controls posture
  • operational, conduct, and model risks
  • incorrect conversions
  • disclosures
  • client complaints
  • exception handling
  • control design and testing
  • KRIs
  • issues management
  • audit/regulatory readiness
  • data science, analytics, and model management
  • conversion decisions
  • model objectives and success metrics
  • feature engineering
  • data quality
  • performance monitoring
  • precision/recall
  • calibration
  • drift
  • stability
  • alerting
  • periodic re-validation
  • model lifecycle and governance
  • testing
  • versioning
  • reproducibility
  • documentation
  • controlled change management
  • Model Risk Management
  • model inventory
  • approvals
  • outcome testing
  • audit-ready evidence
  • releases
  • periodic reviews
  • technical and quantitative analysis
  • conversion outcomes
  • breakage drivers
  • reference patterns
  • beneficiary intelligence gaps
  • routing
  • reduce exceptions
  • straight-through processing
  • experimentation and optimization
  • evaluation approaches
  • tune eligibility rules
  • thresholds
  • model features
  • client impact
  • operational risk reduction
  • capacity
  • investment business cases
  • enhancements
  • corridor launches