6 joburi disponibile

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Data Governance MDM Analyst. Candidate will act as a liaison and translation layer between business and technical teams and operate at system- and detailed technical level for analysis purposes. Implement and support Metadata Management, Data Lineage, Data Quality and other essential Data Governance functions. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Perform other duties as assigned. Qualifications: Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Structured Query Language (SQL) Data Governance Tools example Collibra, IBM ISEE, Informatica etc. Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred.

*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Technical Data Governance. This person will be the liaison between business/technical teams and will be focused on supporting and implementing data quality, Metadata management, data lineage, data mapping, data governance, etc. This person will need to be proficient with SQL data structure and will work within the Collibra Platform. This person must come from a financial company. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Qualifications: Bachelors or masters degree in data analytics, computer science or related field. 5-7 years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Data Governance Tools example Collibra, IBM ISEE, Informatica etc.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Credit Risk Management Reporting Analyst. Candidate will be responsible, identifying, developing, measuring, monitoring, reporting, and enhancing processes that monitor thresholds and trends of various risks and exposures introduced to by clearing members, banks, and other critical counterparties. Associate Principals utilize a strong technical and analytical skill set to assist Credit Department with its projects and reporting. Maintain a general understanding of the risks present within the clearing industry and/or the participating financial entities, including broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities. Associate Principals mentor and train (Sr.) Associates and independently develop technology solutions for the department. Responsibilities: Support CORE team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support CORE team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Work closely with department management on projects, cross-department collaboration, and mentoring of colleagues. As appropriate, lead high priority department projects with minimal oversight by department management. Support CORE team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Demonstrated analytical and problem-solving skills and the ability to work in a collaborative environment Familiarity with financial statements, brokerage statements, and accounting records Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Track record of independently managing and successfully completing high visibility projects Excellent organization skills - must be detail oriented Strong verbal and written communication skills, with proven ability to work and converse with executive level management Strong Mathematical skills and financial acumen Comfortable working in a customer service-oriented environment and addressing questions from both colleagues and counterparties, engaging users to understand issues and identify root causes, escalating incidents to appropriate teams, collaborating with others to ensure timely resolution and user satisfaction, and monitoring service performance of (Sr.) Associates Ability to work well under pressure with multiple priorities and time-sensitive deadlines Track record of accomplishments while leading a team, delegating and prioritizing work assignments, and ensuring team efficiency preferred Technical Skills: Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Intermediate-to-Advanced quantitative, analytical, problem solving skills, including the ability to accumulate, organize, and assimilate large amounts of information. Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred Education and/or Experience: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Master's degree or progress towards a Master's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) preferred Certificates or Licenses: Desire to earn, or progress towards, a CFA or FRM certification

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Credit Risk Management Reporting Analyst. Candidate will be responsible, identifying, developing, measuring, monitoring, reporting, and enhancing processes that monitor thresholds and trends of various risks and exposures introduced to by clearing members, banks, and other critical counterparties. Associate Principals utilize a strong technical and analytical skill set to assist Credit Department with its projects and reporting. Maintain a general understanding of the risks present within the clearing industry and/or the participating financial entities, including broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities. Associate Principals mentor and train (Sr.) Associates and independently develop technology solutions for the department. Responsibilities: Support CORE team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support CORE team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Work closely with department management on projects, cross-department collaboration, and mentoring of colleagues. As appropriate, lead high priority department projects with minimal oversight by department management. Support CORE team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Demonstrated analytical and problem-solving skills and the ability to work in a collaborative environment Familiarity with financial statements, brokerage statements, and accounting records Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Track record of independently managing and successfully completing high visibility projects Excellent organization skills - must be detail oriented Strong verbal and written communication skills, with proven ability to work and converse with executive level management Strong Mathematical skills and financial acumen Comfortable working in a customer service-oriented environment and addressing questions from both colleagues and counterparties, engaging users to understand issues and identify root causes, escalating incidents to appropriate teams, collaborating with others to ensure timely resolution and user satisfaction, and monitoring service performance of (Sr.) Associates Ability to work well under pressure with multiple priorities and time-sensitive deadlines Track record of accomplishments while leading a team, delegating and prioritizing work assignments, and ensuring team efficiency preferred Technical Skills: Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Intermediate-to-Advanced quantitative, analytical, problem solving skills, including the ability to accumulate, organize, and assimilate large amounts of information. Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred Education and/or Experience: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Master's degree or progress towards a Master's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) preferred Certificates or Licenses: Desire to earn, or progress towards, a CFA or FRM certification