Live opening · Posted 7 days ago

Equities Operations Transformation - Analyst

JPMorgan Chase · Kwun Tong, Kowloon, Hong Kong
Oracle
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyJPMorgan Chase
LocationKwun Tong, Kowloon, Hong Kong
SourceOracle
Listed7 days ago

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About the role

Description supplied by the original job listing.

Are you ready to lead strategic change in equities operations? Join a team where your project management and business analysis skills will drive transformation, improve risk management, and deliver scalable solutions. You’ll collaborate with global partners, leverage data and technology, and help shape the future of Equities business. Grow your career in a dynamic environment that values innovation, teamwork, and continuous improvement.
As a Business Analyst within the Equities Operations Transformation team, you will lead and deliver process, control, data, and technology change across the APAC Equities operations. You will own end-to-end requirements, partner with stakeholders across operations, product, technology, and controls, and ensure solutions deliver measurable outcomes. You’ll drive process redesign, control uplift, and platform convergence, supporting the adoption of new operating models and technology.
Job responsibilities
Identify and prioritize high-value operational problems by embedding with Equities Operations teams to understand workflows, handoffs, controls, exceptions, manual workarounds, bottlenecks, and root causes.
Use a forward-deployed delivery model to translate business strategy and frontline operational pain points into executable product opportunities, working directly with Operations teams to observe workflows, validate root causes, define user needs, and shape Minimum Viable Product (MVP) scope, success metrics, backlogs, user stories, acceptance criteria, and delivery roadmaps.
Partner with Operations, Technology, Product and Controls to design, pilot, iterate, and scale practical AI, automation, workflow, and data-enabled solutions that are usable, resilient, and control-aware.
Lead end-to-end delivery from discovery through design, build, testing, rollout, adoption, and benefit realization, managing scope, milestones, dependencies, risks, issues, governance, and delivery cadence.
Drive adoption and sustained behavior change through stakeholder engagement, communications, training, readiness planning, operating procedures, usage tracking, and reinforcement of new ways of working.
Utilize data and AI-enabled delivery practices to size opportunities, monitor program health, surface risks, accelerate decision-making, and track measurable outcomes such as exception volumes, Straight-Through Processing (STP), rework, cycle times, defect leakage, control breaks, and key risk indicator (KPIs).
Protect operational stability and control discipline by ensuring solutions include appropriate testing, release readiness, data quality, entitlements, auditability, exception handling, fallback procedures, and production support.
Required qualifications, capabilities, and skills
Bachelor's degree
At least 1 year of experience working in the financial industry with expertise in product/project delivery
Experience delivering automation, workflow, AI, analytics, data, or technology-enabled solutions in a regulated environment, with sufficient technical fluency to partner effectively with engineers, data teams, product managers, architects, and controls stakeholders.
Proven track record delivering transformation or change as a business analyst, project manager, or hybrid in a middle office or post-trade environment
Strong skills in requirements elicitation, documentation, and process mapping
Experience managing projects, including risk, action, issue, and dependency tracking, and stakeholder management
Strong root cause analysis and structured problem-solving abilities
Comfort working across operations and technology teams, including agile delivery models
Excellent written and verbal communication skills
Preferred qualifications, capabilities, and skills
Knowledge of cash equities, equity derivatives, trade management, settlement, and prime finance
Expertise in statistical analysis, experimental design, and causal inference
Experience leading adoption of new operating models and technology platforms
Experience running stakeholder forums and cross-team governance routines

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