דרושים Market Data Analyst ב-Intercontinental Exchange - Ice ב-Israel, Tel Aviv-yafo

Job Purpose

As a Business Analyst working on Automation projects, your primary responsibility is to analyze complex data sets, gather and manage business requirements, design innovative business solutions, and oversee their implementation. You will be working with multiple teams to gain subject matter expertise, conduct feasibility studies, market analysis, and identify and implement process improvement opportunities.

As a Business Analyst, you must have the ability to collaborate with subject matter experts from various teams, understand complex processes and business needs, and present those concepts to others. You will conduct detailed gap analysis to identify opportunities and propose various possible solutions. You will also be required to gather and maintain a comprehensive library of detailed business requirements and oversee their production, while adhering to a set release cycle to ensure successful implementation.

Your work will be critical to the success of ICE Data Services in providing reference data that is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements, and conduct other back-office functions. You will leverage your expertise in Automation and RPA tools to help develop innovative solutions that drive automation and efficiency in the management of these complex data sets.

Responsibilities

• Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
• Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
• Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
• Possess deep knowledge of APIs and be able to leverage this expertise to communicate with various data sources and vendors.
• Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
• Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
• Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
• Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
• Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
• Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
• Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
• Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
• Apply problem-solving skills to create innovative workflow resulting in increased productivity.
• Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
• Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
• Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
• Mentor junior team members on Automation tools and best practices.
• Create working relationships with Data Vendors to understand content and escalate issues.

Knowledge and Experience

• Bachelor’s degree or higher in Economics, Computer Science, Information Systems, or related technical or financial field required.
• Very strong querying capabilities using SQL.
• Deep understanding in various RPA and Automation tools.
• 3+ years of direct experience as a Business Analyst.
• Ability to work in a fast-paced, high-pressure, fluid environment.
• Ability to distill large amounts of information into specific takeaways.
• Excellent attention to detail and a high degree of demonstrated decision-making and problem-solving skills.
• Excellent written and oral communication skills, including the ability to communicate technical concepts to both technical and non-technical stakeholders.
• Knowledge of software development, life cycle and experience with Agile methodologies is required.
• Experience working with APIs, an advantage.
• Python scripting skills, an advantage.

Responsibilities

• Calculate over usage on a monthly, quarterly, and annual basis.
• Conduct financial analysis.
• Royalties reporting.
• Tracking and monitoring human investment in various projects.
• Communicate financial analysis to our financial team and management
• Liaise with Legal, Sales, Product Management, R&D and global clients
• Prepare ad hoc projects
• Maintain financial systems, supporting the Finance department.
• Implement Automation

Knowledge and Experience

• Bachelor's Degree in Economics or closely related discipline
• 2-3 years' experience in a finance department.
• Strong analytical and financial analysis skills
• Advanced Excel skills - A must.
• Excellent English - written and verbal communication skills - A must
• Detail-oriented, highly organized, and self-motivated
• Works well in a fast-paced, deadline driven environment
• Knowledge of Oracle, Salesforce is preferred

Job Purpose

Monitoring, validation and analyses of cross asset derivatives and listed markets.

On boarding OTC and listed market data pricing into ICE Data Services systems and downstream products.

Responsibilities

• Monitor and validation of cross asset raw and derived market data using in-house analytical tools.
• Providing customers with accurate, real time and historical, response to their data related queries.
• Work closely with internal departments such as operations and support.
• Data quality checks and uploads
• Analyze cross asset market data using Excel, SQL and in house tools.
• Troubleshoot data inconsistences.
• Monitor global financial news.
• Maintenance of documentation, identify areas of improvement, and carry out quality assurance on team documentation.

Knowledge and Experience

• BA/BSc in Business, Finance, Statistics, Economics or Financial Engineering.
• Proficient in Excel
• SQL- an advantage
• Interest and familiarity with financial markets
• Team player, Independent and a fast learner
• Ability to work under pressure.
• Organized and detail oriented.

Responsibilities

• Design, develop, and maintain scalable Python-based data pipelines for processing large volumes of structured and unstructured data.
• Build automation scripts to streamline recurring data workflows, monitoring tasks, and data quality validation processes.
• Collaborate with data scientists to support AI and machine learning model deployment, feature engineering, and production data flow integration.
• Write efficient and maintainable SQL queries to support reporting, analytics, and data exploration needs.
• Participate in the development of internal tools to improve data access and usability across the organization.
• Monitor and improve data pipeline reliability, including logging, alerting, and performance tuning.

Knowledge and Experience

• 3+ years of experience as a Data Scientist or in a similar role.
• Strong programming skills in Python, with experience writing reusable libraries and working with data manipulation libraries
• Advanced proficiency in SQL and experience working with large-scale databases (e.g., PostgreSQL, MSSQL, Oracle…).
• Experience with AI/ML workflows, supporting model training and inference pipelines in production environments.
• Solid understanding of data modeling, warehousing, and distributed data processing concepts.

Advantage

• Exposure to real-time data processing technologies (e.g., Kafka, Spark Streaming).
• Background in finance, trading systems, or financial data pipelines.

Job Purpose

Establish and implement data management procedures, tools, and methodologies to reflect the ongoing needs of the Commodity, Equity and ETD markets. Connect, verify, and ensure proper data flow within the organization.

Responsibilities

• Overall responsibility of data for the Commodity, Equity and ETD product.
• Analyse business requirements for market data (e.g., pricing, reference data, real-time feeds).
• Proactively design, build and maintain reports and dashboards in addition to monitoring and maintaining the integrity and validity of the data.
• Assist with implementation of new data feeds, APIs, and distribution systems.
• Work closely with other internal departments and resources including, Product Management, R&D, and operations to develop workflows, quality assurance processes and product enhancements.
• Create, Maintain, and validate data connection to our data providers.
• Collaborate with IT and data engineering teams to implement and test new data feeds, APIs, or distribution systems.
• Troubleshoot issues with data delivery, latency, or quality.
• Work with developers to implement automation solutions.
• Contribute to continuous improvement of data governance and workflow efficiency.
• Provide training and support to end users on data tools, terminals, and entitlements.

Knowledge and Experience

• BA/BSc in Business, Finance, Mathematics, Economics, Statistic, Financial Engineering, or equivalent work experience.
• +3 years of experience in data analytics\BI\reference data role.
• Solid understanding of market data content types (real-time, reference, derived, pricing).
• Understanding of APIs and data integration processes
• Experience in the financial industry, stock markets or derivatives - an advantage
• Experience working with data products and platforms.
• Strong analytic and organizational skills with acute attention to details.
• Strong Knowledge of SQL for data analysis.
• Demonstrate analytical and quantitative skills to solve problems.
• Ability to collaborate with internal teams to facilitate data management processes and solutions.
• Ability to work as a part Agile global team.
• Python, VBA, or other analytical applications – an advantage

Job Purpose

Establish and implement advanced data management procedures, tools, and methodologies to address the complex and evolving needs of the Equity Derivatives market. Leverage mathematical and statistical techniques to enhance the accuracy, efficiency, and automation of data processes, ensuring optimal data flow across the organization.

Responsibilities

• Detect anomalies and automatically perform the appropriate remediation action, improving data quality, consistency and reliability.
• Perform analyses on large quantities of data to identify trends and automate the recalibration of the model parameters that generates our implied data (volatility surfaces, implied dividends, correlations, projected dividends, securities lending…).
• Utilize in depth understanding of the Equity Derivatives market and technical skills to provide detailed analysis to clients on their pricing of complex structured products and portfolio valuation.
• Design, develop, and implement automated monitoring, and dynamic thresholds.
• Initiate projects, write specs, interact with R&D, Quants, Dev and Q&A until final push to production.
• Be part of the creation and maintenance of data pipelines and ETL processes to ensure data quality and availability.
• Leverage programming skills and financial market experience to clean large data sets of historical implied data.
• Keep up with the industry trends and innovation in the Equity Derivatives industry and data quality domain.
• Collaborate closely with Product team and give feedback on client’s challenges to identify opportunities and deliver value-added solutions to enhance our clients’ business.
• Excellent written and verbal communication skills to escalate bugs or client’s requirements to Quants and explain technical processes and solutions to Business Partners and Sales.

Knowledge and Experience

• Experience in ETL processes and broader data workflow engineering concepts.
• Very strong analytical skills.
• Strong knowledge of SQL, Python, R and/ or big data.
• Experience working with data products and platforms.
• Ability to multi-task, prioritize and work with tight deadlines.
• Ability to collaborate with internal teams to facilitate data management processes and solutions.
• BA/BSc in Finance, Mathematics, Economics, engineering, Computer Science or related field.
• MBA /MA - an advantage.
• Experience with Equity Derivatives industry (sales or trading) - sell-side or buy-side advantageous.