What Youll Do:This role will be an active contributor to developing business-focused data engineering solutions and enterprise data models for our most important data assets to level up OCCs analytics capabilities. They will become an expert on OCC’s core business data sets to support teams across the organization to successfully harness these data. This role will also work on strategic data challenges, with a strong focus on business user requirements gathering, system design and build of analytics infrastructure, running technology proof-of-concepts, and evolving our production analytics platforms to meet the evolving needs of risk managers, quants, and analytics developers, while aligning to the company’s security and IT standards.Primary Duties and Responsibilities:To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.<ul><li>Design and implement cloud infrastructure for internal analytics zone in collaboration with our data architect, OCC’s Data Platform team, DevOps, IT</li><li>Assist in the build, test, and deploy semantic layer’s virtual and physical data models that simplify complex semi-structured data, eliminate multiple definitions of similar data, create query-friendly datasets, and standardize column naming for downstream users that are developing quantitative analytics, dashboards, and internal risk applications.</li><li>Lead the build and implementation for big data processing solutions that meet latency SLAs and access pattern needs of business users who need to analyze the large datasets generated by OCC’s risk models</li><li>Take a lead in implementing DataOps practices of observability and monitoring through automation for semantic layer and other data products to ensure proactive data system failure detection and incident response</li><li>Learn user wants, motivations, priorities, and “the why” as part of eliciting business requirements with developers in risk management departments</li><li>Work with upstream data producers to understand how their systems generate data, and how they are subject to change over time to help anticipate and manage schema drift from semantic layer</li><li>Collaborate with Data Governance, Data Platform Team, and DBAs to design access controls to data platform that meet business and internal governance needs</li><li>Create documentation and testing to ensure data lineage is traceable and semantic layer components are easily discoverable and useful to business users</li><li>Teach self-service capabilities and data literacy with business users leveraging the semantic layer, analytics tools , and CI/CD tools</li><li>Invest in your continued learning of on modern data engineering, cloud computing, options trading industry, and financial risk management, with an eye towards improving maintainability, reliability, and utility of our analytics infrastructure</li><li>Assist risk analysts in solving their analytics questions/challenges and support ad-hoc development with them, as needed.</li></ul>Supervisory Responsibilities:<ul><li>None</li></ul>Qualifications:The requirements listed are representative of the knowledge, skill, and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.<ul><li>[Required] Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems &amp; Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and  delivery standards in mind.</li><li>[Required] past experience building data products or analytics systems depended on by other users</li><li>[Required] Ability to communicate technical concepts to audiences and ask pressing questions of people with varying levels of technical background, and synthesize non-technical requests into a technical specification</li><li>[Required] High attention to detail, tradeoffs, and an ability to think structurally about a solution</li></ul>Technical Skills:<ul><li>[Required] Ability to write and optimize complex analytical (SELECT) SQL queries and DDL queries</li><li>[Required] Ability to write and manage python projects for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)</li><li>[Required] Experience with a source code version control repository system, branch management, pull requests (preferably git)</li><li>[Required] Experience working with a linux shell and with container frameworks like docker for portable code distribution and execution</li><li>[Preferred] Experience with transformation/semantic layer frameworks, such as dbt or Cube</li><li>[Preferred] Experience with data lake architectures, their different technology components and purpose in modern cloud data stacks for analytics, such as Apache Parquet file format, Apache Iceberg table format, and analytics optimized query engines such as Trino or duckdb</li><li>[Preferred] Familiarity with data modeling design concepts such as 3rd-normal form versus denormalized data modeling concepts such as star-schema</li><li>[Preferred] Familiarity with a cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake</li><li>[Preferred] Experience with batch orchestration tools such as Apache Airflow, Dagster, or Prefect</li><li>[Preferred] Experience with privileged access management platforms, such as CyberArk or Hashi Vault</li><li>[Preferred] Experience integrating custom code with CI/CD tools, such as Jenkins, JFrog Artifactory, Harness</li><li>[Preferred] Understanding of applied statistics and hands-on experience applying these concepts</li></ul>Education and/or Experience:<ul><li>[Required] Bachelors or Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience</li><li>[Required] 5+ years of experience as a data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst</li><li>[Preferred] Work experience in the global financial derivatives trading industry</li></ul>Certificates or Licenses:<ul><li>[Preferred] Cloud platform certification, or</li><li>[Preferred] Data Engineering certification</li></ul>About UsThe Options Clearing Corporation (OCC) is the worlds largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.BenefitsA highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: <ul><li>A hybrid work environment, up to 2 days per week of remote work</li><li>Tuition Reimbursement to support your continued education</li><li>Student Loan Repayment Assistance</li><li>Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely</li><li>Generous PTO and Parental leave </li><li>401k Employer Match</li><li>Competitive health benefits including medical, dental and vision</li></ul>Visit <a href="https://www.theocc.com/careers/thriving-together" target="_blank">https://www.theocc.com/careers/thriving-together</a> for more information.Compensation<ul><li>The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education. </li><li>In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer. </li><li>We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on <a href="http://www.theocc.com/careers" target="_blank">www.theocc.com/careers</a> </li><li>All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.</li></ul>Salary Range$99,300.00 - $174,100.00Incentive Range8% to 15%This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.<h3></h3>Step 1 When you find a position youre interested in, click the Apply button. Please complete the application and attach your resume.  Step 2 You will receive an email notification to confirm that weve received your application.Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about <a target="_blank" href="https://www.theocc.com/about/career-center/default.jsp">OCC</a>, please click <a target="_blank" href="https://www.theocc.com/about/career-center/default.jsp">here</a>.OCC is an Equal Opportunity Employer