126 to 150 of 223 Reference Data Jobs

Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware, applications and APIs that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do. What we do: Our clients are using increasingly more data in their investment processes … decisions, analyze their portfolio, gauge risk and more. This shift is occurring for all types of users - Bloomberg Terminal users, clients who use Excel, and Quant users who use data science platforms such as BQuant. Clients are looking to perform workflows that were previously not possible, which tend to be more data and compute intensive. We created the … Bloomberg Query Language (BQL) for these users and use cases. Legacy data delivery mechanisms (APIs) require clients to download massive volumes of data and perform their custom analysis on their desktops. BQL is a step-change in functionality - clients can ask questions of our content and receive answers quickly and accurately without the need to download, manage and More ❯

APIs. Our ecosystem is technically diverse, using vendor products, open-source solutions, and custom in-house developments. We define policy across information models expressed in RDF and UML, retrieve data via Graph and REST APIs, and deploy reusable components across various application points, both in containerized and non-containerized patterns, integrated through a managed services layer. Job Responsibilities Design … and followership. Create high-quality architecture and design artifacts for complex, distributed applications; ensure design constraints are met. Gather and analyze requirements; develop visualizations and reports over large, diverse data sets to improve systems. Identify hidden problems and patterns in data to drive improvements in code hygiene and architecture. Contribute to communities of practice and explore new technologies. … Define roadmaps for product capability delivery aligned with short-term needs. Collaborate with teams to source reference data and build metadata-driven data transformations (JSON-to-JSON). Partner through pairing and code reviews. Required Qualifications, Capabilities, and Skills Experience with React and knowledge of Typescript. Proficiency with information/data models and meta-models. Hands More ❯

new experiences and development opportunities right here in Belfast’s iconic Titanic Quarter. The overall objective of this role is to contribute to the continuous development of a strategic data application within the ISG Data Solutions group. By joining the Exceptions Master Central (XMC) team you will work with the latest technologies and interact with stakeholders from across … the bank enabling Citi to succeed in delivering value for our clients, while playing a key role in our data governance and data quality strategy. In this role you will work on a best in class system that acts as the strategic source for client reference data across the enterprise, enhancing its capabilities and data in line with business and regulatory requirements. XMC provides a suite of services across our product offering, including data analytics, reporting, dashboarding, rules based decision engines, database management and data governance tooling with a primary focus on user experience and outcome based delivery. The Java/Full Stack developer is an intermediate level position responsible for participation More ❯

Trading sought by leading investment bank based in the city of London. **Inside IR35 - 3 days a week on site** Design and implement services for trading such as market data, order management, messaging layer, security reference data systems, position keeping systems, and services for user interfaces using C++ Work with quants, traders, and other stake holders to More ❯

and the role has arisen out of growth. Some of the duties within this role will include but are not limited to: Implement services for trading such as market data, order management, messaging layer, security reference data systems, position keeping systems, and services for user interfaces (C++, Python) Work with quants, traders, and other stake holders to More ❯

maximizing the monetization of core strategies, having a measurable impact on our business. Major Responsibilities As a member of our team, you will leverage your programming, analytical reasoning, and data analysis skills to construct quantitative models that drive our success across a variety of business decisions. You will work on alpha generating strategies, tackle complex portfolio construction challenges, and … capture from internal idea generation. Partner with the Technology team to design and implement scalable infrastructure solutions. Build interactive tools to display analytical findings. Integrate SFM and third-party data sets related to historical reference data, factor data, end of day and tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.). … extensive development experience within strategic libraries/frameworks supporting quantitative research. Experience with signal research, back testing, and portfolio optimization. Strong analytical and problem-solving skills. Familiarity with common data science and machine learning tools and libraries. Must have a high degree of attention to detail, be able to multitask, complete projects in a timely manner, and work effectively More ❯

Get AI-powered advice on this job and more exclusive features. Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of … data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain … deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and More ❯

mitigate emerging risks. Consulting with technology owners in Product, Engineering and Operations to appropriately model their processes, sub-processes, risks and controls for assessment. Ensuring technology risk and controls reference data (., risk scenarios, policies, standards, procedures, is available and aligned for use in CORE, such that assessments are consistent and can be justifiably informed by the performance … data gathered from the technology estate (., metrics & measures). Consulting with business-aligned information risk managers to ensure technology assessments are aligned and inform business operational risk assessments in a meaningful, actionable manner. Collaborating closely with Operational Risk Management and Business Controls Management to ensure that technology risk and control taxonomies are optimised, with supporting systems able to … of work management platform such as JIRA to ensure operational discipline. Demonstrated written and oral communication skills and excellent analytical and problem-solving skills Experience in identifying and using data from large data sets to support enterprise scale initiatives via analytics (such as AI/ML techniques, Alteryx, Tableau) Ability to collaborate with high-performing teams and diverse More ❯

sensitive projects while maintaining a longer term, strategic focus. Effective communicator in both written and verbal mediums. BENEFICIAL SKILLS & QUALIFICATIONS Prior experience working on an electronic trading platform, e.g. reference data, market data & FIX. Knowledge of Spring, Kafka, SQL and/or Linux. Prior experience designing and implementing distributed systems modelling complex workflows. Prior experience in the … financial industry. Understanding of common data structures and optimisations regarding memory and runtime performance. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we More ❯

technically diverse ecosystem using a mixture of vendor products, open-source products, and custom in-house solutions. We define policy across information models expressed in RDF and UML, retrieve data via Graph and REST APIs, and deploy a reusable component across multiple points in the application flow, in both containerized and non-containerized patterns. We combine it all through … design artifacts for complex, distributed applications. Is accountable for ensuring design constraints are met by software developed. Gathers and analyses requirements, and develops visualizations and reports over large, diverse data sets across distributed systems, in service of continuous system improvement. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene … new and emerging technologies. Defines roadmaps to sequence delivery of product capabilities aligned to specific short-term use cases and requirements. Works with teams across the bank to source reference data (and associated metadata). Builds metadata-driven declarative data transformations (JSON-to-JSON) Partners closely with colleagues through pairing and code reviews Required qualifications, capabilities, and More ❯

with Citi. The team builds and maintains software used to compute metrics that help mitigate Citi's exposure to counterparty default. The solutions include consumption of trades, collateral, market data, counterparty and security reference data from over 50 sources, and the computation of optimal margin allocation for portfolios and trades, haircut for security and cash collateral, trade … new technologies where appropriate to solve business problems while adhering to Citi's architectural guidelines. Build bespoke solutions where necessary to perform risk and capital exposure impact analysis on data sets comprising millions of records. Serve as advisor or coach to mid-level/junior developers and analysts, helping build the overall engineering capabilities of the team. Appropriately assess … production team use. Good to have Experience re-engineering large monolithic applications to microservices. Experience re-engineering complex franchise critical applications to new platforms. Experience in Tableau or equivalent data analytics tool Skills Extensive experience working with most if not all the technologies listed below: Java Core with extensive hands-on experience with concurrent programming. Spring Framework including Core More ❯

mitigate emerging risks. Consulting with technology owners in Product, Engineering and Operations to appropriately model their processes, sub-processes, risks and controls for assessment. Ensuring technology risk and controls reference data (e.g., risk scenarios, policies, standards, procedures, etc.) is available and aligned for use in CORE, such that assessments are consistent and can be justifiably informed by the … performance data gathered from the technology estate (i.e., metrics & measures). Consulting with business-aligned information risk managers to ensure technology assessments are aligned and inform business operational risk assessments in a meaningful, actionable manner. Collaborating closely with Operational Risk Management and Business Controls Management to ensure that technology risk and control taxonomies are optimised, with supporting systems able … of work management platform such as JIRA to ensure operational discipline. Demonstrated written and oral communication skills and excellent analytical and problem-solving skills Experience in identifying and using data from large data sets to support enterprise scale initiatives via analytics (such as AI/ML techniques, Alteryx, Tableau) Ability to collaborate with high-performing teams and diverse More ❯

sensitive projects while maintaining a longer term, strategic focus. Effective communicator in both written and verbal mediums. Beneficial Skills & Qualifications Prior experience working on an electronic trading platform, e.g. reference data, market data & FIX. Knowledge of Spring, Kafka, SQL and/or Linux. Prior experience designing and implementing distributed systems modelling complex workflows. Prior experience in the … financial industry. Understanding of common data structures and optimisations regarding memory and runtime performance. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we More ❯

innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements … more junior members of the team and help them grow Confidence interacting with our business partners and senior stakeholders, providing clear, concise and accurate updates Equities Trading knowledge plus Reference data, market data feeds, analytics, FIX protocol, signals, smart order routing, systematic internalisation, trading algorithms Other technical knowledge Azul Zing, Open HFT Chronical, Google Proto buffers, CPU More ❯

within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Java Backend Software Engineer II at JPMorgan Chase within the REFERENCE DATA ENGINEERING TEAM, you will be part of an agile team dedicated to enhancing, designing, and delivering the firm's state-of-the-art technology products in a More ❯

Ensure the client and investor KYC files are reviewed accurately on a timely basis in line with internal policy and procedure including the set up & maintenance of all applicable reference data. Proactive review and monitoring of client and investor AML-KYC documentation received Perform Ongoing Due Diligence refresh of clients and investors as per our internal policy and procedure … documents and maintain up to date Client Due Diligence (CDD) and Ongoing Due Diligence (ODD) files in the appropriate database. Maintenance and validation of investor KYC information and static data setup including interacting with a variety of internal and external stakeholders before and at fund closing Contribute to procedure and process improvements and simplifications where appropriate Preparation of internal More ❯

help desk systems, handling basic issues, and escalating complex problems. Maintaining high customer service standards for support queries. Troubleshooting and gathering information for issue diagnosis and escalation. Maintaining security reference data related to securities across platforms. Updating and improving knowledge base and documentation. Collaborating with Compliance, Surveillance, Infrastructure, and Sales teams to monitor operations. Implementing and deploying changes More ❯

the appropriate person. Maintain a high degree of customer service for all support queries Performing troubleshooting and collection of information for effective issue diagnosis and internal escalation Maintain security reference data for the admissions/withdrawals/amends/edits of securities across all platforms. Maintain and enhance knowledge base and documentation. Work with other departments (Compliance, Surveillance More ❯

Years of relevant experience 2+ years Education Level Bachelor's Degree About the Job Here at Nexus we are recruiting for a Business Analyst (Data & Regulations) to join a multi-national company which provides custom information technology, consulting, and business process outsourcing services. We are looking for a Business Analyst with a background in Reference Data and … Regulations/understanding of Collateral. You will have at least 3 to 5 years experience as Business Analyst coupled with at least 2 years of data analysis, reference data and ideally collateral. Job Description: - Data Analysis of Client Reference Data/complex data set analysis - Management of RAIDS log/creation of status …/UAT cases - Maintaining and developing relationships with Business/IT stakeholders - Supporting delivery of new systems/system enhancements Requirements: - Experience in analysing/manipulating large volumes of data using Access/Excel - Ability to prepare structured PowerPoint presentations/good comm skills - A good understanding of Data flows, mapping and systems infrastructure - Understanding of Client & Account More ❯

Job title: Data Engineer Location: UK Duration: 6-month contract Inside IR35 Working Mode: Fully Remote Vetting: Active SC Clearance Job Description: Data Engineer Skills and Technologies Data Engineering: Strong understanding of data concepts Data types, data structures, schemas (both JSON and Spark), schema management etc. Strong understanding of complex JSON manipulation Experience working … with Data Pipelines using custom Python/PySpark frameworks Strong understanding of the 4 core Data categories (Reference, Master, Transactional, Freeform) and the implications of each, particularly managing/handling Reference Data. Strong understanding of Data Security principles Data owners, access controls Row and column level, GDPR etc including experience of handling sensitive datasets … Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala (bonus, not compulsory) Azure SQL Server as a HIVE Metastore (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA #J-18808-Ljbffr More ❯

Data Engineer Skills and Technologies Data Engineering: Strong understanding of data concepts - data types, data structures, schemas (both JSON and Spark), schema management etc. Strong understanding of complex JSON manipulation. Experience working with Data Pipelines using a custom Python/PySpark frameworks. Strong understanding of the 4 core Data categories (Reference, Master … Transactional, Freeform) and the implications of each, particularly managing/handling Reference Data. Strong understanding of Data Security principles. Experience managing data owners and access controls. Knowledge of row and column level security, GDPR, and handling sensitive datasets. Strong problem-solving and analytical skills, particularly able to demonstrate these intuitively. Required skills: Languages/Frameworks: JSON YAML … Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala (bonus, not compulsory) Azure SQL Server as a HIVE Metastore (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA Due to the nature and urgency of this post, candidates holding or who have held high-level security clearance More ❯

Software Engineer – Data Platform Engineering London – Hybrid (4 days office/1 remote) Quant Capital is hiring for a trading and research firm seeking a Software Engineer to join its Data Platform team. This team owns the infrastructure that powers structured, high-quality datasets used across trading, research, and operations. The focus is not on breadth but depth … consolidating the most critical financial datasets into clean, accessible, and reliable pipelines. You’ll work at the intersection of systems engineering, data quality, and automation, shaping the way the firm accesses and relies on structured data. Role Overview You’ll design and build robust data ingestion pipelines, apply algorithmic solutions to data validation problems, and contribute to … a centralised platform that internal teams use to consume market and reference data. Your work will directly support decisions made across the business daily. This is a high-autonomy role where proactive ownership, clean code, and system-level thinking are valued more than process or oversight. Key Responsibilities Design and maintain pipelines for ingesting and cleaning financial datasets Integrate More ❯

Software Engineer – Data Platform Engineering London – Hybrid (4 days office/1 remote) Quant Capital is hiring for a trading and research firm seeking a Software Engineer to join its Data Platform team. This team owns the infrastructure that powers structured, high-quality datasets used across trading, research, and operations. The focus is not on breadth but depth … consolidating the most critical financial datasets into clean, accessible, and reliable pipelines. You’ll work at the intersection of systems engineering, data quality, and automation, shaping the way the firm accesses and relies on structured data. Role Overview You’ll design and build robust data ingestion pipelines, apply algorithmic solutions to data validation problems, and contribute to … a centralised platform that internal teams use to consume market and reference data. Your work will directly support decisions made across the business daily. This is a high-autonomy role where proactive ownership, clean code, and system-level thinking are valued more than process or oversight. Key Responsibilities Design and maintain pipelines for ingesting and cleaning financial datasets Integrate More ❯

us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities. The Role Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions … and state-of-the-art technologies to deliver product excellence and customer success. The Data Platform Engineering team delivers the tools and data processing pipelines to build the global data core for life sciences in 100+ countries. Working as a data engineer in our global Data Platform Engineering team at OpenData, you will drive impactful … change by harmonizing data operations globally and enhancing data quality. Your responsibilities will include creating the tools and processes necessary to efficiently store, manage, and compile data, directly contributing to the success of OpenData. You must be based in the UK and already hold legal work authorization, as Veeva does not sponsor employment visa processes for this More ❯

Neudata is hiring a Market Data Analyst to focus on helping build out its traditional data services. This is an exciting opportunity for someone who wants to join a fast-growing team, help shape a key area of our business and work directly with some of the world’s leading institutional investors. To apply, please email your CV … help them make smarter decisions about which datasets to use – and which to avoid. That means saving them time and money in the process. Our expertise is in alternative data – from social sentiment feeds to credit card transactions to ESG signals – but we’re now expanding into the world of traditional and market data. We’re headquartered in London … everyone how we would like to be treated. Work better together. Do it the right way. Be uncompromisingly honest. Never cease to improve and innovate. Job Description The Market Data Analyst will join Neudata’s research team and work alongside the Market Data Lead to help grow Ranger - a new offering designed to help clients navigate traditional data More ❯