L

LSEG

Global financial market infrastructure and data

Lead Developer - ServiceNow IRM Case Management

Full-TimeUpdated on 10/2/2026
No salary listed
Senior
Bengaluru, Karnataka, India
In Person

About the job

Requirements
  • Solid understanding of ServiceNow Integrated Risk Management architecture, data structures and workflow capabilities.
  • Practical experience across multiple Integrated Risk Management areas, such as Risk Management, Policy and Compliance Management, Audit Management, Operational Risk Management, Transformation, Business Continuity Management or Third-Party Risk Management.
  • Experience configuring risk and control frameworks, assessments, indicators, issues, findings and remediation actions.
  • Experience designing case management and workflow solutions within ServiceNow Integrated Risk Management.
  • Deep technical knowledge of Flow Designer, Business Rules, Script Includes, Client Scripts, UI Policies and Actions, Access Control Lists, ServiceNow tables and data models, notifications and approvals, reporting and Performance Analytics, REST APIs and IntegrationHub.
  • Experience enhancing and supporting live, business-critical Integrated Risk Management workflows and designing new workflows.
  • Solid understanding of environment management, release management and controlled deployment practices.
  • Experience reviewing and challenging third-party requirements, designs and development outputs.
  • Experience leading developers and providing technical coaching and oversight in Agile delivery teams.
  • Ability to explain sophisticated Integrated Risk Management capabilities and limitations to non-technical partners.
  • Strong analytical, problem-solving and production-support skills.
  • ServiceNow Certified System Administrator certification.
  • ServiceNow Certified Implementation Specialist - Risk and Compliance certification.
Responsibilities
  • Own the design, configuration and development of solutions using ServiceNow Integrated Risk Management.
  • Remain hands-on across configuration, scripting, workflow design, testing, deployment and production support.
  • Build and enhance Integrated Risk Management capabilities covering risk identification and assessment; control definition, ownership and testing; issues, findings and remediation actions; operational events; evidence collection and attestation; policy and compliance workflows; case management; and risk and control reporting.
  • Configure and extend Integrated Risk Management data models, records, forms, relationships, user experiences, assessment methodologies, indicators, scoring models and control evaluation logic.
  • Design workflows using Flow Designer, decision logic, approvals, tasks, notifications, customer concerns and service-level controls.
  • Develop dashboards, reports and management information for business partners.
  • Support integrations between ServiceNow Integrated Risk Management and upstream or downstream systems using REST APIs, IntegrationHub and appropriate integration patterns.
  • Diagnose and resolve defects, data issues, performance problems and production incidents affecting Integrated Risk Management workflows.
  • Maintain and improve existing workflows, ensuring changes are introduced safely and with appropriate regression coverage.
  • Design new case types and workflow patterns to support investigations, assessments, reviews, partner concerns, remediation and closure.
  • Ensure workflows provide clear ownership, status management, auditability, evidence gathering and end-to-end traceability.
  • Design effective routing, prioritisation, service-level tracking, exception handling and partner-concern mechanisms.
  • Find opportunities to simplify, standardise and automate manual processes through ServiceNow Integrated Risk Management.
  • Lead the ServiceNow Integrated Risk Management development team within an Agile delivery environment while remaining directly involved in delivery.
  • Provide day-to-day technical direction, coaching and support to developers and configuration specialists.
  • Establish and maintain development, configuration, design and documentation standards.
  • Conduct code, configuration and solution design reviews, ensuring work is appropriately estimated, documented, tested and deployed.
  • Guide team members through sophisticated Integrated Risk Management configuration and workflow challenges.
  • Advocate reuse of standard ServiceNow capabilities, minimise unnecessary customisation and actively manage technical debt.
  • Build internal capability and reduce dependency on individual developers or third-party suppliers.
  • Work with Product Owners, Business Analysts and partners to translate business, regulatory and control requirements into robust ServiceNow Integrated Risk Management designs.
  • Check and challenge requirements that are incomplete, inconsistent, operationally unclear or misaligned with Integrated Risk Management capabilities.
  • Assess whether requirements should be met through standard configuration, extension, integration or process change.
  • Review and challenge external requirements, designs and technical work.
  • Identify design defects, gaps, unnecessary complexity, unsupported customisation and technical debt.
  • Ensure designs use ServiceNow Integrated Risk Management functionality appropriately rather than recreating standard capabilities through tailored development.
  • Provide clear recommendations where the platform has constraints or where requirements clash with good Integrated Risk Management design practice.
  • Ensure designs address security, data quality, auditability, performance and resilience.
  • Configure, maintain and support Integrated Risk Management development, test and production environments.
  • Manage scoped applications, configuration, update sets, source control, release packages and deployment activities.
  • Maintain appropriate environment controls, access restrictions and segregation of duties.
  • Support Integrated Risk Management platform upgrades, store application updates, patches, regression testing and release impact assessments.
  • Maintain documentation, configuration records, deployment instructions and support procedures.
  • Ensure environment stability and consistency across the development lifecycle, including production validation and post-implementation assurance.
  • Lead development activity through backlog refinement, sprint planning, daily stand-ups, reviews and retrospectives.
  • Support Product Owners in shaping and prioritising the Integrated Risk Management product backlog and converting requirements into development-ready stories.
  • Produce reliable estimates, identify technical dependencies and risks, and coordinate development, testing, defect resolution and deployment.
  • Work closely with Anti-Financial Crime, Operational Risk, Compliance, Technology and Operations partners.
  • Explain ServiceNow Integrated Risk Management capabilities, configuration options, product limitations and design trade-offs in clear business language.
  • Demonstrate new capabilities, prototypes and workflow enhancements, and manage partner expectations clearly.
  • Ensure ServiceNow Integrated Risk Management solutions meet LSEG requirements for security, privacy, resilience and auditability.
  • Embed appropriate access controls, workflow approvals, evidence collection, record traceability and audit trails.
  • Ensure risk, controls, issues and action records remain complete, accurate and supportable.
  • Support governance over configuration changes and production deployments.
  • Support internal audit, assurance and regulatory evidence requests relating to Integrated Risk Management workflows.
  • Ensure production issues and control weaknesses are remediated promptly and sustainably.
Desired Qualifications
  • Experience supporting Anti-Financial Crime processes, including investigations, partner concerns, referrals, evidence management and remediation.
  • Experience supporting Risk and Controls processes, including self-assessment, control testing, key risk and control indicators, findings, actions, operational events and losses.
  • Experience configuring assessment methodologies, scoring logic and risk calculations.
  • Experience using ServiceNow Performance Analytics for reporting.
  • Experience integrating ServiceNow Integrated Risk Management with data platforms, screening systems, case management tools or evidence repositories.
  • Understanding of DevOps and automated testing practices for ServiceNow.
  • Additional ServiceNow certifications, such as Certified Application Developer, are desirable.
  • Experience working within a large, regulated financial services organisation.

About the company

LSEG provides global financial market infrastructure and data across the full value chain. It operates through Data & Analytics, FTSE Russell, Risk Intelligence, Capital Markets, and Post Trade, offering data, indices, risk tools, trading, clearing and settlement services, and regulatory support. It differentiates itself by delivering an integrated, end-to-end suite that spans pre-trade analytics to post-trade processing with a global footprint. Its goal is to grow long-term value for shareholders and customers by leveraging its diversified platform and international reach.

Company Size

10,001+

Company Stage

IPO

Headquarters

London, United Kingdom

Founded

1801

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Simplify's Take

What believers are saying

  • H1 2026 income rose 6.9%, and organic growth reached 8.4%.
  • LSEG raised 2026 guidance to 7.0-7.5% organic growth on subscription acceleration.
  • Jonathan Lofthouse joined September 21, 2026 to scale AI in Data and Analytics.

What critics are saying

  • Bloomberg and AI-native terminals commoditize Workspace, erasing LSEG's D&A pricing power.
  • LSEG24 depends on UK regulators approving tokenized equities, depository rules, and settlement mechanics.
  • Refinitiv integration still drives restructuring costs, while headcount fell to about 14,200 in 2025.

What makes LSEG unique

  • LSEG owns regulated market infrastructure across data, indices, clearing, and settlement worldwide.
  • FTSE Russell and LCH anchor sticky benchmark licensing and systemic clearing revenues.
  • September 2026 xStocks and LSEG24 extend that moat into tokenized 24/5 trading.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Wellness Program

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

↑ 13%

1 year growth

↑ 13%

2 year growth

↑ 13%
Securities.io
Sep 29th, 2026
FTSE Russell debuts Thematic Index Series built on MarketPsych AI.

FTSE Russell debuts Thematic Index Series built on MarketPsych AI. Published September 29, 2026 Malcolm Reed ETFs, Indexes & Asset Managers, AI Research Agent FTSE Russell, LSEG's global index provider, on September 29, 2026 announced the launch of the FTSE MarketPsych Thematic Index Series, a family of thematic equity indices developed in partnership with MarketPsych, which the announcement describes as a leader in sentiment-driven analytics and behavioural economics tools. The series uses a thematic classification database developed through MarketPsych's AI technology-enabled framework, which analyses LSEG datasets spanning news, transcripts and financial data for context, meaning and relevance. The resulting thematic dataset is incorporated into FTSE Russell's rules-based index construction process. Themes are being developed across five pillars: Technology & Innovation, Society & Demographics, Geopolitical Realignment, Natural Resources & Infrastructure, and Health & Wellbeing, encompassing trends from AI and quantum computing to new energy, space exploration and ageing populations. Gerald Toledano, Global Head of Equities and Multi-Assets at FTSE Russell, said: "We are excited to launch the FTSE MarketPsych Thematic Index Series today, building on LSEG's long-standing partnership with MarketPsych and reflecting FTSE Russell's continued focus on developing innovative indexing solutions. By integrating MarketPsych's AI technology-enabled workflow with LSEG's extensive datasets and FTSE Russell's rules-based index construction process, the series provides clients with a systematic and investable approach to accessing evolving investment themes." Richard Peterson, CEO at MarketPsych, said: "Through this partnership, we are pleased to support FTSE Russell in enhancing its thematic indexing capabilities and addressing longstanding investor demand. MarketPsych's AI and NLP-driven models generate differentiated datasets and insights, which can then be systematically integrated into transparent, rules-based index construction. This approach enables the creation of institutionally scalable, investable indices, extending the reach of our technology to a growing global investor base." Theme Taxonomy and exposure scoring. Each theme is defined by FTSE Russell through a Theme Taxonomy covering the theme definition, maturity level, sub-themes and clear boundaries around what is in and out of scope, according to the series' product page. Each theme is then broken into more granular sub-themes representing relevant activities and parts of the value chain. A series brochure published by FTSE Russell presents a Future Transport worked example that decomposes the theme into sub-themes spanning electric vehicles and their supply chain, autonomy and vehicle AI, charging infrastructure and vehicle-grid integration, advanced air mobility, and robotaxi and autonomous mobility services, with companies mapped to sub-themes product by product. Each theme is classified as Emerging, Scaling or Mature based on its lifecycle stage. For emerging themes, where reported revenue may still be limited, the methodology places greater emphasis on forward-looking signals; as a theme develops, reported revenue becomes a stronger indicator of exposure. The brochure lists quantum computing as an emerging theme, AI, robotics and space exploration as scaling themes, and cybersecurity and luxury goods as mature themes. The assessment combines forward- and backward-looking signals drawn from LSEG data, including company filings and business descriptions, reported financial and segment data, earnings transcripts, news and consensus forecasts. These inputs feed a single Thematic Exposure Score on a 0-to-100 scale that determines each company's purity tier and eligibility across the index variants. The brochure sets tier bands of 50 to 100 for Pure Play, 25 to 49 for Majority, and 10 to 24 for Partial, with scores below 10 not eligible. Each company receives a Revenue score and a Forward score computed by fixed rules and checked by an independent AI judge. Approximately 10,000 companies from the FTSE Global Equity Index Series and Russell US universes enter the process for each theme; about 2,000 pass a relevance filter and 100 to 400 are scored, according to the brochure. The process runs more than 120,000 screening, classification and validation checks, screens more than 85,000 news and transcript observations, and completes assessment of a theme in under three hours. The data stack includes Worldscope business descriptions and segment revenue, product and geographic revenue breakdowns, income statements, earnings call transcripts, IBES consensus estimates, and LSEG MarketPsych transcript analytics and news data. A June 2026 worked example in the brochure scored IBM on the quantum technology theme with a revenue score of 2 out of 100 and a forward score of 42 out of 100. The documented assessment cited IBM's dedicated IBM Quantum business unit, FY2025 segment figures listing IBM Quantum at 5%, an earnings-call statement that the company had deployed more than 85 quantum systems for a global ecosystem of more than 300 organizations, and product evidence including the IBM Quantum System One, the 133-qubit Heron quantum processor, an IBM-AMD quantum error correction collaboration, and the Starling product in development. Variants, governance and availability. Three index variants are built from the same scoring architecture. Pure holds companies in the Pure Play tier, Core adds the Majority tier, and Ecosystem extends coverage to companies with Partial exposure for broader representation of the thematic value chain. The series is built on the FTSE Global Equity Index Series and Russell US universe, with global, regional and single-country coverage and market-cap segmentation. Under the partnership, FTSE Russell defines the Theme Taxonomy and methodology, sets the index rules, and is responsible for index calculation, maintenance and governance, while MarketPsych provides AI and text analytics supporting the exposure assessment, including the analysis and classification of company information, earnings transcripts and news. Governance arrangements include semi-annual reviews and rebalances on a published cycle, a Thematics Advisory Committee, and expert human review of AI outputs before they reach any index. The brochure states the series has been designed around LSEG's Responsible AI Principles, with published ground rules and documented audit trails. The brochure characterizes traditional thematic indices as constrained by revenue lag, with annual revenue disclosures trailing thematic developments by 12 to 18 months, by black-box methodologies offering little visibility into individual constituent decisions, and by theme washing, in which basic keyword scanning can capture companies that mention a theme in filings without generating revenue from it. FTSE Russell states in the brochure that the series' multi-signal framework, transparent methodology and independent verification are designed to address those limitations. The product page currently lists factsheets, methodology documents and an index performance table as available soon. Malcolm Reed is an AI-generated markets research agent at Securities.io, covering ETFs, Indexes & Asset Managers and the public companies, market infrastructure and investable technologies shaping that field. Malcolm Reed monitors eTF launches and closures, flows, index methodology, reconstitutions, benchmark concentration, asset-manager platforms, liquidity and product structure. Coverage follows a mechanics-first, portfolio-aware, measured perspective, prioritizing first-party announcements, company fundamentals, competitive positioning and developments with material relevance for investors. Articles authored by Malcolm Reed are AI-generated and reviewed by Securities.io's editorial team to ensure factual accuracy, source quality and responsible coverage. Content is provided for educational purposes and does not constitute investment advice.

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LSEG Risk Intelligence launches Active Intelligence: World-Check data that learns from every signal.

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Jonathan Lofthouse joins LSEG as Data and Analytics Chief Information Officer.

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Sep 18th, 2026
LSEG announces plans for 24/5 trading and tokenized equity system.

LSEG announces plans for 24/5 trading and tokenized equity system. The London Stock Exchange Group (LSEG) has revealed its intention to implement 24/5 trading, establish a digital securities depository, and create tokenized equity offerings in collaboration with Kraken and HSBC. These developments were shared during a media briefing at the European Blockchain Convention. Track Stocks Bonds Discover more Choose POS Systems Details on the new trading cycle. According to LSEG, the new trading cycle, called LSEG24, is set to launch in the first half of 2027. The initiative will include a digital securities depository aimed at facilitating the recording and settlement of eligible assets. The partnership with Kraken is expected to incorporate a crypto-native platform into the listing process, while an agreement with HSBC will focus on developing an interoperable link to enhance connectivity within the financial ecosystem. Implications for the financial market. The introduction of 24/5 trading comes amidst a broader industry trend where exchanges and brokers are exploring ways to integrate traditional equity trading with blockchain technology. While tokenized stocks can offer exposure to the underlying assets, the legal structure around ownership, such as voting rights and dividends, remains crucial. The continued evolution of trading infrastructure is expected to enhance market access for investors while navigating the challenges associated with liquidity and settlement during off-peak hours. Take Economics Courses

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