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I am currently recruiting for a company in Reading who's looking for a D365 F&O Developer to join their team on a permanent basis. It's a hybrid role, with two days a week on - site. The D365 F&O Developer will be responsible for developments, implementation and maintenance of the Dynamics 365 Finance & Operations (F&O) system. They will work closely with the IT team, business stakeholders and external support provider to ensure the system aligns with business requirements and supports the company's growth objectives. Experience: 3 years + of experience in a similar role in D365 Development. Specifically, within F&O Finance Module. Daily Tasks Develop, test and deploy customisations, integrations and new functionality within the Microsoft Dynamics 365 F&O environment. Analyse and debug complex technical issues, providing timely resolution and support to end users and stakeholders. Collaborate with project managers and business analysts to translate business requirements into technical solutions. Working closely with stakeholders and test leads to ensure business requirements are met. Perform system performance and security testing to ensure optimisation, stability and reliability. Create and maintain documentation for system configurations, development processes, testing and user guides. Assist with data migration and integration activities between D365 F&O and other business systems. Provide technical support and training to support team, ensuring they can effectively support and the changes. Stay current with the latest updates and features in D365 F&O and related technologies. Providing technical support and guidance on Dynamics 365 F&O capabilities, limitations, and best practices. Required Skills Proven experience as a developer in Dynamics 365 F&O modules including forms, workflows and reports. Strong understanding of finance and operations business processes. Proficiency in X , C#, and .NET Framework. Familiarity with Azure DevOps and life cycle services. Experience with data management, SQL, and Power BI. If you are interested, please get in touch today with Kamilla below) Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

*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