We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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You enjoy building robust, scalable applications and services, and you are comfortable working across frontend, backend, cloud infrastructure, and integrations. You bring: Strong full stack engineering skills across modern frontend frameworks and backend services Experience designing and building cloud-native applications in AWS A problem-solving mindset and the ability to navigate ambiguity A focus on reliability, security, performance, and maintainability Strong collaboration and communication skills in Agile, cross-functional teams A passion for continuous improvement, mentoring others, and delivering business value Owns medium-to-large features end-to-end, including design, implementation, testing strategy, and production readiness. Leads troubleshooting and performance tuning (application and database). Drives API/integration work (Apigee patterns, identity/security considerations). Improves engineering practices (CI/CD, test automation, code quality) and mentors others. Ensures established standards for observability, deployment, resiliency, and developer productivity across teams. Partners with product, architecture, and security stakeholders; makes and communicates trade-offs clearly. Mentors team members and ensures High-Performing Engineering standards are chosen and monitored with the team Strong software engineering fundamentals: clean code, testing, debugging, and design. Experience integrating systems via APIs and working with enterprise standards (security, logging, monitoring). Ability to work in Agile teams using modern delivery practices (iteration, experimentation, continuous improvement). Effective communication and collaboration; able to document and explain technical decisions. Experience and openness to utilizing AI Software Development Tools (GitHub Actions Copilot etc.) Bachelor's or Master's degree in a technical or business discipline, or equivalent experience 5+ years of software engineering experience Strong experience designing, developing, and supporting production applications Demonstrated ability to work across frontend, backend, API, cloud, and operational concerns Experience working in enterprise environments with security, monitoring, and reliability standards Experience with CI/CD pipelines, automated testing, and modern DevOps practices Experience troubleshooting application and database performance issues Experience or openness to using AI-assisted software development tools As a Senior Software Engineer, you will own medium-to-large features and services end-to-end, helping modernize and evolve our claims technology ecosystem. 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Configure and support data ingestion, validation, enrichment, matching, and distribution processes within the enterprise data management system. Support reporting, analytics, and downstream data integration processes connected to the EDM platform. Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data. Integrate data from internal and external vendors, APIs, flat files, and enterprise applications. Implement data quality checks, reconciliations, exception handling, and monitoring processes. Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model. Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines. Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts. Hands-on experience supporting and developing solutions within Markit EDM. Experience working with market data, reference data, or financial services data platforms. Proficiency in Python for data processing, automation, and integration. Experience troubleshooting complex production data issues. 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Partner with quantitative analysts and portfolio strategists to convert AI-generated prototypes and research artifacts into robust, production-ready applications. Build and maintain data pipelines for portfolio and market data across public and private markets, leveraging the LMI data ecosystem. Contribute to the team's shared quantitative library, supporting both existing and new models, analytics, and reusable components. Support and extend existing applications and dashboards in production, and drive the design and implementation of new ones to meet evolving research and decision-support needs. Excellent problem-solving and analytical skills, with the ability to think critically, independently, and act with minimal handholding Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. 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Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred. Solid understanding of financial markets and multi-asset investment risk domain. Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics Excellent problem-solving skills, with the ability to think critically, independently Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. 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Oversee talent strategy including hiring, coaching, performance management, and succession planning. Establish and scale global engineering teams, including vendor and offshore strategies aligned to capacity and cost objectives. Partner with Product, Underwriting, Data, Experience, and Architecture teams to deliver business value and seamless customer experiences. Collaborate with senior and executive leadership to align and define data engineering capabilities with USRM data & enterprise data strategy and modernization goals. Own delivery outcomes, including timelines, quality, system health, and business impact. Represent data teams in planning, budgeting, and resource allocation discussions. Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred. Generally, more than 10 years related experience with 5 years in leadership role. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills; strong presentation skills. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. 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Forward thinker: Merely fixing a problem isn't enough - using your proactive mindset and initiative, you'll also identify opportunities to enhance performance, quality and efficiency Strong foundation in data structures, algorithms, and software engineering principles, with proficiency in languages like Python or Java. Proficiency in software engineering languages and tools, including Java, React, Node.js, Spring Boot, AWS and RESTful services, RDS. A self-starter mindset with strong self-learning capabilities and the ability to move fast and adapt in an ever-evolving AI environment. Highly independent and proactive, with a strong ability to learn, execute, manage priorities and create initiatives. Creativity and initiative able to pitch and prototype ideas with minimal oversight. 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Forward thinker: Merely fixing a problem isn't enough, using your proactive mindset and initiative, you'll also identify opportunities to enhance performance, quality and efficiency A minimum of five years of software engineering experience A background in business operations and strategies, with a focus on business IT A history of translating client requirements into technical designs Agile engineering capabilities and a design-thinking mindset Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers A thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designs Proficiency in software engineering languages and tools such as React, TypeScript, JavaScript, Node.js, and other potential backend languages. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}