Investment Platform Systems Lead
15 hours ago
Luton
Are you ready to chart your own career path? With our refreshed strategy, we’re building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success. This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: London - Lombard Street Office Workplace Type: On-Site Employment Type: Permanent Seniority: Mid-Senior Level The Investment Platforms team bridges the gap between Investments and Technology, partnering closely with the Investment Directorate and Investment Operations teams to deliver technology change and operate platform systems that underpin our Investment Proposition. They manage a diverse and specialist technology landscape, including discrete applications, platform technologies, underlying data stores, market data solutions, and 3rd party managed services. The team works with the broader technology community to ensure Investment systems are scalable, secure, and aligned with business priorities, enabling innovation and operational excellence across the investment lifecycle. The Investment Platform Systems Lead is a subject matter expert (SME) responsible for supporting and enhancing the technical integrity of the firm's Investment Platform, an ecosystem of applications, managed services, market data, and data stores. The role is crucial in developing, implementing, and maintaining sophisticated tools, systems and controls to ensure the platform remains a reliable and effective resource for investment teams, supporting the monitoring and oversight of the firm's investment proposition. What you’ll be doing: • Acting as the lead SME for the Investment Platform, providing expert knowledge on its various applications, data stores, and services., • Administering & managing Investment Platform applications/systems to ensure integrity and reliability for end-users, including monitoring automated job execution, running reconciliation, and issue investigation & resolution., • Serving as leading SME on investment instrument data, the full investment lifecycle (trade to settlement), investment risk concepts and portfolio analysis, providing expert guidance to data teams and other technical stakeholders in these areas., • Supporting and enhancing the quality control process for inbound security and position data, including cleansing, overriding, and proxying data to balance integrity with service level agreements (SLAs)., • Working collaboratively with data, technology and change teams in a matrix structure to maintain, enhance and evolve the investment platform ensuring it remains effective, efficient and providing a positive return on investment., • Leading on Investment Data Stewardship, representing investment data interests with colleagues across the group and being a SME across the breadth of investment data in group systems., • Accountable for configuration, administration and maintenance of programmatic financial analysis environments, ensuring environments are accurate and fit for purpose., • Providing technical SME application support to investment teams, enabling them to self-serve operational and analytical workflows through platform applications., • Identifying and resolve breaks in instrument and position data to ensure platform applications are loaded within required timeframes., • Detailed knowledge of various asset classes (e.g., Equities, Fixed Income, Alternatives) and complex over-the-counter (OTC) instruments., • Deep understanding of investment data, specifically security, position, and pricing data, and the challenges associated with data quality control., • Significant experience in configuring, maintaining and using portfolio and risk analytics systems, including an in-depth understanding of how these systems are used to analyze portfolio characteristics, measure performance attribution, and quantify risk exposures., • Strong ability in data querying and manipulation, particularly using SQL and Python, programmatically generating and testing reports, analytics and statistical models, • Understanding of software development life cycle, • Experienced in reconciling trade/positional data across multiple sources and proactively investigating discrepancies, • Competitive parental leave (26 weeks full pay), • Private medical insurance (optional taxable benefit)