12 senior solutions engineer jobs found

ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ...

About us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ...

The Emerging Tech Standard Delivery Team will orchestrate adoption of emerging technologies and build Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The individual in the role will handle partners and co-ordinate with teams highly proficient in machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers, data analysis, be articulate and able to connect to the technical and non-technical people. Role, Responsibilities & Key Accountabilities: Be responsible for the product vision for industry leading data management framework (data acquisition, cleaning,...

Job Summary As a Senior Data Scientist, you will leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs. You will work on end-to-end solutions, including building Proof of Concepts (POCs), professional services, and integrating third-party technologies with client systems. This role is pivotal to ensuring the successful implementation of data science-driven products and capabilities, with a key focus on AI, machine learning, and Natural Language Processing (NLP). You will collaborate closely with cross-functional teams, delivering innovative solutions to customers in highly dynamic, data-intensive environments. Role & Responsibilities Lead and execute complex customer engagements, utilizing specialized expertise in AI, Machine Learning, and NLP, including building POCs, integrations, and deployments with customer workflows. Apply a combination of technical, product, and data science expertise to...

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and building Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The role will manage stakeholders and co-ordinate with teams highly proficient in data science, machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers and data analysis and be articulate and able to connect with technical and non-technical people. Role, Responsibilities & Key Accountabilities: Own the product vision for industry leading financial analytics data management framework (data acquisition, cleaning,...

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Senior Data Scientist role is to provide knowledge & support to Refinitiv Data, Product Teams, Development Team and Content Specialist regarding the Company Data content and the Product Generation. Senior Data Scientist will lead the Extraction of data work with content team and Central Tech Standards team on business requirements. Core Responsibilities Handle and process large datasets using Python. Define requirements and lead projects to deliver new or enhanced capabilities. Collaborate with business units to see opportunities for improving commercial performance and operational efficiency through data science and analytics. Translate business needs into technical solution requirements. Propose and implement improvements to products and processes....

We are seeking a strategic and technically adept Lead Data Scientist for the Demand and Capacity Management automation function. This role is pivotal in shaping our flag ship product capacity management software. ·        Lead continuous governance efforts, driving the adoption and integration of standard methodologies for efficient technology resource utilization. ·        Identify and address costly or unjustified infrastructure usage; collaborate with operations, engineering, and proposition teams to implement corrective actions. ·        Ensure infrastructure requirements are embedded in all growth and transformation initiatives. ·        Develop and enhance forecasting models and scenario planning tools to support the future-state hybrid operations of LSEG Technology. ·        Partner with Technology Infrastructure, Cloud, and Finance teams to assess CapEx and OpEx for capacity solutions, chipping in to accurate budgeting and financial planning. ·    Key...

ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in over 60 countries across EMEA, North America, Latin America and Asia Pacific. We...

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Headline : Builds and uses data science knowledge and expertise, supporting projects and building data science products and solutions. Role Responsibilities & Key Accountabilities: - Supports projects, leveraging technical expertise to remove obstacles and to find creative solutions. - Builds data science products and solutions utilising data science techniques directly. - Creates compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics. - Builds and uses domain expertise in financial market content, data science and LSEG data and products. - Writes highly optimised code for LSEG products and solutions. Qualifications & Experience: - Degree or equivalent - Moderate...

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and building Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The role will manage stakeholders and co-ordinate with teams highly proficient in data science, machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers and data analysis and be articulate and able to connect with technical and non-technical people. The Lead Data Scientist will work closely with Technology to influence the D&A Operations technology roadmap and will partner with D&A Ops leaders to build a culture that...

Profile Summary We are seeking a detail-oriented and technically proficient Data Scientist with 2+ years of experience working with large-scale financial datasets. The ideal candidate is skilled in Python, SQL, and statistical analysis, with a strong foundation in data quality assurance, anomaly detection, and exploratory data analysis. Experience in a financial data environment is preferred. Familiarity with Sustainable Investment, ESG data, or Index methodologies is a plus, but not essential. Key Responsibilities Apply statistical techniques and Python-based workflows to monitor and validate large-scale datasets. Conduct exploratory data analysis on new Sustainable Investment datasets to detect anomalies and assess operational risks. Review vendor data methodologies and compare them with internal analytical findings. Define outlier logic and quality control thresholds for new sustainable data pipelines. Prototype and operationalize new data quality checks. Extract...

The successful applicant will be a member of the Quantitative Services Business Unit’s development team that pursues the continuous development of Acadia’s pricing and risk analytics libraries, applications and services. The analytics software is based on ORE (Open Source Risk Engine, opensourcerisk.org) and QuantLib (quantlib.org). The software is largely written in C++ with a growing set of Python language bindings. The analytics are used in several ways, as core component of the Acadia’s risk services (ISDA SIMM backtesting and benchmarking, CRIF generation for ISDA SIMM calculation), as “out of the box” software deployed on client premises, as well as foundation for model validation and tailored client solutions implemented by the Quantitative Service Unit’s Expert Services consulting teams. The development team deals with the implementation of additional financial products that continuously occur during the onboarding of new clients to the services, the implementation of...