Technology Jobs in Taguig, Philippines (Now Hiring) — 590 open — Page 22

Role Requirements:

• Operating Group: Capital Markets (Financial Services)
• Location: Manila
• Level (Experience): ○ Analyst (3–6 years) ○ Consultant (7–11 years) ○ Manager (12–16 years) ○ Senior Manager (17+ years)
• Travel Requirement: ○ Expected travel may range from 0% to 100%, depending on project and client needs.

Principal Domain and Expertise

The suitable candidate should be able to consult with clients across Capital Markets, Investment Banking, Asset Management, Wealth Management and Market Infrastructure functions, with strong emphasis on data-led reinvention and AI-enabled transformation.

TLM/Recon Primary Key Skills:

• Experience in TLM (Transaction Lifecycle Management)
• Possess knowledge on TLM Recon admin and TLM Web Connect
• Performing functional & UAT testing during TLM patch releases
• Worked on trade and cash reconciliations
• Knowledge on Ledger and Statement reconciliations

Domain Areas

Candidates should have experience or strong understanding across one or more of the following:

• Front Office / Trading / Order Management / Execution Management
• Middle Office / Risk / P&L / Collateral / Valuations
• Back Office / Post-Trade / Settlements / Confirmations / Reconciliations
• Reference Data / Market Data / Product Data / Client Data / Counterparty Data
• Asset & Wealth Management, including front-office advisory, portfolio operations and client servicing
• Finance, Risk and Regulatory Reporting
• Clearing, Custody, Exchanges and Market Infrastructure
• Regulatory Change, including Basel, MiFID, EMIR, SFTR, CFTC, SEC, IFRS9 and related reporting obligations
• Data, AI, Automation and Digital Transformation
• AI-enabled operations and intelligent process transformation

Role Summary

The candidate will work with Accenture’s Global Network Capital Markets practice to deliver consulting and transformation engagements for global financial services clients. The role requires a strong combination of Capital Markets domain knowledge, consulting skills, business analysis capability, data transformation understanding and AI-enabled reinvention mindset.

The candidate will help clients assess current-state processes, data flows, systems and controls; define target-state operating models; design data and analytics solutions; support business requirements; and drive execution across large-scale transformation programs.

Typical responsibilities include:

• Capital Markets consulting and business analysis.
• Data management, data governance, data quality and data product transformation.
• Reconciliation and exception management process transformation.
• AI-enabled operations and intelligent process transformation
• Current-state assessment and target-state design.
• Target Operating Model definition.
• Business requirements, functional requirements, user stories and process documentation.
• Agile delivery, testing, UAT, change management and stakeholder management.
• Business case development, value realization and transformation roadmap support.
• Client management across onshore and offshore teams.
• Proposal support, offering development and thought leadership.
• Adoption of Accenture delivery methods, assets, accelerators and reinvention-led approaches.

Key Data Themes for the Role

The role will have strong focus on the following data themes:

1. Data Management

• Define and support enterprise and domain data strategies for Capital Markets clients.
• Assess current-state data landscapes across front, middle and back office.
• Support design of target-state data architecture, data flows, data ownership and operating models.
• Work across trade, transaction, position, instrument, product, pricing, market, client, counterparty, risk, finance and regulatory data domains.
• Support data sourcing, ingestion, transformation, enrichment, standardization and consumption requirements.
• Help clients move toward AI-ready, trusted and reusable data foundations. Accenture’s data services emphasize trusted, democratized and reusable data products as a foundation for faster insights and AI value.

2. Analytics and Insights

• Define business KPIs, reporting requirements and analytics use cases across Capital Markets functions.
• Support dashboards, operational analytics, risk analytics, exception analytics, P&L analytics and regulatory reporting insights.
• Translate business problems into analytical requirements and data-driven recommendations.
• Work with data scientists, engineers and technology teams to enable predictive, diagnostic and AI-enabled insights.
• Identify opportunities to use AI, generative AI and agentic AI for break investigation, root-cause analysis, controls testing, issue triage, reporting automation and decision support.

3. Data Products

• Support design and delivery of domain-aligned data products for Capital Markets use cases.
• Help define data product scope, consumers, source systems, business rules, data contracts, metadata, service levels and control requirements.
• Drive adoption of reusable data products across reporting, regulatory, risk, operations, analytics and AI use cases.
• Work with product owners, data owners, stewards, technology teams and business stakeholders to manage data product backlogs and roadmaps.

4. Data Governance

• Define or support data governance frameworks, roles, responsibilities, RACI, policies and standards.
• Support data ownership, stewardship, metadata management, lineage, data cataloging and data controls.
• Help establish governance forums, issue management processes, escalation paths and decision rights.
• Ensure data governance aligns with business, regulatory, risk, privacy and compliance expectations.
• Support AI-ready governance, including responsible data use, model input controls, lineage, explainability and traceability. Accenture’s modern data platform perspective highlights governance, access controls, lineage, encryption, data quality and compliance as critical elements for sensitive industries.

5. Data Quality Management

• Define and implement data quality rules, scorecards, dashboards and controls.
• Assess data quality across dimensions such as completeness, accuracy, timeliness, consistency, validity, uniqueness and integrity.
• Support data profiling, root-cause analysis, remediation planning and data quality issue management.
• Establish data quality operating models across business, operations, technology and control teams.
• Support data observability and proactive monitoring for critical data elements.

6. Reconciliations and Controls

• Support trade, cash, position, holdings, securities, nostro, custody, P&L, fees, commissions and regulatory reconciliations.
• Analyze breaks, exceptions and unmatched items across systems, ledgers, custodians, market infrastructures and external data sources.
• Define reconciliation logic, matching rules, tolerances, exception workflows and control dashboards.
• Drive simplification and automation of reconciliation processes using workflow, analytics, AI and intelligent automation.
• Support target operating model design for exception management, control ownership, SLA management and regulatory evidence.

Technical Know-How – Good to Have

Candidates are not expected to be deep technologists but should have working knowledge of data platforms, feeds, tools and industry data flows relevant to Capital Markets.

Data Feeds and Standards

Good to have exposure to:

• Market data and reference data feeds from vendors such as Bloomberg, LSEG/Refinitiv, ICE, S&P Global / Markit and similar providers.
• Exchange, broker, custodian, clearing house and depository feeds.
• SWIFT, FIX, FpML, ISO 20022, XML, JSON, APIs, flat files and batch/real-time data integration patterns.
• Trade lifecycle data flows across OMS, EMS, risk, settlement, accounting, reporting and reconciliation platforms.
• Corporate actions, securities master, pricing, ratings, benchmarks, calendars, legal entity, counterparty and client reference data.

MDM, Data Governance and Data Quality Platforms

Good to have exposure to one or more of:

• Informatica MDM / IDMC
• Reltio
• Collibra
• Alation
• Ataccama
• Precisely
• Semarchy
• Profisee
• IBM InfoSphere / IBM MDM
• GoldenSource
• Markit EDM / IHS Markit EDM
• NeoXam
• SmartStream Reference Data Utility
• Data quality, metadata, lineage, catalog and observability tools

Capital Markets Platforms – Good to Have

Exposure to one or more of the following is desirable:

• Murex
• Calypso / Adenza
• Aladdin
• SimCorp Dimension
• Avaloq
• Temenos
• Charles River
• Fidessa
• Bloomberg AIM
• Summit
• Kondor+
• Wallstreet Suite
• FIS / SunGard platforms
• SmartStream TLM
• Duco
• ReconArt
• Broadridge platforms

Responsibilities by Level

Analysts / Consultants

Analysts and Consultants are expected to support project delivery and independently own defined workstreams under guidance. Key responsibilities include:

• Support business analysis, data analysis, PMO, testing and presentation development.
• Conduct process mapping, current-state assessment and gap analysis across Capital Markets functions.
• Own BRDs, FRDs, user stories, functional specifications and requirement traceability.
• Support data discovery, data profiling, source-to-target mapping and data lineage documentation.
• Support design of data quality rules, data controls, reconciliation rules and exception workflows.
• Analyze data issues, reconciliation breaks and operational exceptions.
• Support UAT planning, test case preparation, test execution and defect triage.
• Prepare stakeholder-ready documentation, dashboards, operating model packs and executive presentations.
• Work independently with client SMEs, product owners, operations users, technology teams and delivery teams.
• Contribute to problem structuring, insight generation and recommendation development.
• Demonstrate foundational understanding of Capital Markets products, processes and data flows.
• Build awareness of AI, automation and data modernization use cases across Capital Markets.

Manager

Managers are expected to lead workstreams or projects end-to-end, manage teams and own client delivery outcomes. Key responsibilities include:

• Lead independent workstreams or full project delivery across Capital Markets transformation programs.
• Drive data strategy, data governance, data quality, reconciliation, analytics and operating model workstreams.
• Lead current-state assessment, target-state design and roadmap development.
• Define Target Operating Models covering people, process, data, technology, governance and controls.
• Manage delivery teams across onshore, offshore and client environments.
• Own program governance, project planning, RAID management, status reporting and delivery quality.
• Lead stakeholder workshops, requirement discussions, playback sessions and solution walkthroughs.
• Drive data issue resolution, reconciliation remediation, control uplift and operational efficiency initiatives.
• Support AI-enabled process transformation and identify automation opportunities.
• Lead proposal development, RFI/RFP/RFQ responses and solution shaping.
• Build client relationships and support account growth.
• Contribute to offering development, POVs, methodology refinement, training and capability building.
• Manage people development, staffing, delivery quality and risk management.
• Perform responsibilities expected at prior levels, where required.

Senior Manager

Senior Managers are expected to drive strategic client relationships, sales, offering development and end-to-end delivery accountability. Key responsibilities include:

• Build trusted relationships with senior client stakeholders and account leadership.
• Drive Capital Markets data, AI and reinvention-led transformation opportunities.
• Shape large-scale programs across data management, governance, analytics, reconciliations, operations and technology modernization.
• Lead client conversations on strategic direction, value case, operating model and implementation roadmap.
• Own end-to-end delivery accountability for quality, risk, stakeholder management and business outcomes.
• Lead sales pursuits, solutioning, commercial shaping and client orals.
• Run CoE-aligned campaigns for new account growth and offering adoption.
• Develop market-relevant offerings across Capital Markets data products, AI-ready data, data governance, data quality and reconciliation transformation.
• Mentor teams, counselees and future leaders.
• Support hiring, retention, utilization, engagement initiatives and skill development.
• Collaborate with industry leads, account teams and global delivery teams to secure and deliver high-impact deals.
• Perform responsibilities expected at prior levels, where required.