8 Simcorp Dimension Jobs

Hiring, Investment Management and Risk Data Product Owner - ISS Data (Associate Director) Role The Investment and Risk & Attribution Data Product Owner role is instrumental in the creation and execution of a future state design for investment and risk data across our key business areas. The successful candidate will have an in-depth knowledge of all data domains that services Investment management, risk and attribution capabilities within the asset management industry. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned to deliver cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our clients. Key Responsibilities Leadership and Management: Lead the Investment and Risk data outcomes and capabilities for the ISS Data Programme. Realign existing resources and provide coaching and line management for junior data analysts within the chapter, influence and motivate them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead data product documentation, enable peer-reviews, get analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for improving efficiencies and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. An advocate for the ISS Data Programme. Coordinate with internal and external teams to communicate with those impacted by data flows. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. Essential Skills Required Strong leadership and senior management level communication, internal and external client management and influencing skills. At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry. 5-10 years s a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. In depth knowledge of how data vendor solutions such as Rimes, Bloomberg, MSCI, FactSet support Investment, Risk, Performance and Attribution business needs. Outstanding knowledge of data life cycle that drives Investment Management such as research, order management, trading, risk and attribution. In depth expertise in data and calculations across the investment industry covering the below. Financial data: This includes information on asset prices, market trends, economic indicators, interest rates, and other financial metrics that help in evaluating asset performance and making investment decisions. Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules. Market data: This includes data like security prices, exchange rates, index constituent and licensing restrictions on them. Risk data: This includes data related to risk factors such as market risk, credit risk, operational risk, and compliance risk. Performance & Attribution data: This includes data on fund performance returns and attribution using various methodologies like Time Weighted Returns, Transaction based performance attribution. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms. Knowledge of data management, data governance and data engineering practices. Hands on experience on data modelling techniques like dimensional, data vault etc. Willingness to own and drive things, collaboration across business and tech stakeholders.

Role Description: DWS QA team is responsible for the testing of all applications owned by DWS IT and provides expertise of testing to the projects and application owners. The Test function supports the individual teams with expertise around various tools and frameworks in order to keep the manual effort behind the testing at a minimum. The QA & Testing - Senior Analyst will participate in the hands-on test creation, manual and automated execution, analysis and reporting of functional and non-functional testing activities. Will work on tasks identified in the testing strategy and plan. Will be responsible for the accurate recording of defects and the collation of metrics and KPI information for reporting purposes. The QA & Testing - Senior Analyst will work alongside various project stakeholders to ensure that specific streams of work are progressing, provide guidance by example and act as an escalation point for the QA & Testers and Analysts. The successful candidate is expected to have at least 12-15 years experience in IT projects, preferably with Asset Management Business Applications and Processes. Your key responsibilities: You will drive the hands on execution of the test strategy and plan, including the test preparation, execution, analysis and reporting activities. You will be responsible for the accurate recording of defects and the collation of metrics and KPI information for reporting purposes. You will provide product/business expertise to drive and support the testing approach You will support to develop and implement technical solutions for the testing process, like test automation, performance testing or test data provisioning You will identify the tasks and resources needed to ensure that their specific portion of the testing process meets software quality requirements prior to release into a live environment. You will review and implement test process improvement regularly Alternately the QA Tester will demonstrate specialist Business Testing knowledge or exceptional business/functional expertise. The QA & Testing - Senior Analyst will work alongside various project stakeholders to ensure that specific streams of work are progressing, provide guidance by example and act as an escalation point for the QA & Testers and Analysts. Your skills and experience: Must be a professional Graduate with at least 12-15 years experience in IT projects, and of that minimum 3 years with Asset Management Business Applications and Processes testing Should gave Strong hands-on experience with manual and automation testing methodologies and Software Testing life cycle including experience in IT Quality Assurance processes. Able to write Test Cases for End-to-End Asset Management business process flows involving integration of different Applications Candidate Should have hands-on experience on tools like JIRA and HP-ALM and should understand automation frameworks like Jenkins and TeamCity Strong knowledge in Asset Management domain and good experience in industry leading applications like BRS-Aladdin and SimCorp Dimension is preferred. Experience in i-Croci application will be an added advantage. A Very Good communication skills in English language Willingness to Learn new technologies and flexible to get cross trained whenever required.

Department: Technology Reports To: Middle and Back Office Data Product Owner About your team The Technology function provides IT services that are integral to running an efficient run-the business operating model and providing change-driven solutions to meet outcomes that deliver on our business strategy. These include the development and support of business applications that underpin our revenue, operational, compliance, finance, legal, marketing and customer service functions. The broader organisation incorporates Infrastructure services that the firm relies on to operate on a day-to-day basis including data centre, networks, proximity services, security, voice, incident management and remediation. The ISS Technology group is responsible for providing Technology solutions to the Investment Solutions & Services (ISS) business (which covers Investment Management, Asset Management Operations & Distribution business units globally) The ISS Technology team supports and enhances existing applications as well as designs, builds and procures new solutions to meet requirements and enable the evolving business strategy. As part of this group, a dedicated ISS Data Programme team has been mobilised as a key foundational programme to support the execution of the overarching ISS strategy. About your role The Middle and Back Office Data Analyst role is instrumental in the creation and execution of a future state design for Fund Servicing & Oversight data across Fidelitys key business areas. The successful candidate will have an in- depth knowledge of data domains that represent Middle and Back-office operations and technology. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned to deliver Fidelitys cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our clients. Data Product - Requirements Definition and Delivery of Data Outcomes Analysis of data product requirements to enable business outcomes, contributing to the data product roadmap Capture both functional and non-functional data requirements considering the data product and consumers perspectives. Conduct workshops with both the business and tech stakeholders for requirements gathering, elicitation and walk throughs. Responsible for the definition of data requirements, epics and stories within the product backlog and providing analysis support throughout the SDLC. Responsible for supporting the UAT cycles, attaining business sign off on outcomes being delivered Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering principles. Coordination and Communication: Excellent communication skills to influence technology and business stakeholders globally, attaining alignment and sign off on the requirements. Coordinate with internal and external stakeholders to communicate data product deliveries and the change impact to the operating model. An advocate for the ISS Data Programme. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. About you At least 10 years of proven experience as a business/technical/data analyst within technology and/or business changes within the financial servicesasset management industry. Minimum 5 years as a senior business/technical/data analyst adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. Proven experience. of delivering data driven business outcomes using industry leading data platforms such as Snowflake. Excellent knowledge of data life cycle that drives Middle and Back Office capabilities such as trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund & cash positions, custody, collaterals/margin movements, corporate actions , derivations and calculations such as holiday handling, portfolio turnover rates, funds of funds look through . In Depth expertise in data and calculations across the investment industry covering the below. Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules. Market data: This includes data like security prices, exchange rates, index constituents and licensing restrictions on them. ABOR & IBOR data: This includes calculation engines covering input data sets, calculations and treatment of various instruments for ABOR and IBOR data leveraging platforms such as Simcorp, Neoxam, Invest1, Charles River, Aladdin etc. Knowledge of TPAs, how data can be structured in a unified way from heterogenous structures. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Excellent hands-on SQL, Advanced Excel, Python, ML (optional) and proven experience and knowledge of data solutions. Knowledge of data management, data governance, and data engineering practices Hands on experience on data modelling techniques such as dimensional, data vault etc. Willingness to own and drive things, collaboration across business and tech stakeholders.

DWS QA team is responsible for the testing of all applications owned by DWS IT and provides expertise of testing to the projects and application owners. The Test function supports the individual teams with expertise around various tools and frameworks in order to keep the manual effort behind the testing at a minimum. The QA & Testing - Senior Technology Analyst will participate in the hands-on test creation, manual and automated execution, analysis and reporting of functional and non-functional testing activities. Will work on tasks identified in the testing strategy and plan. Will be responsible for the accurate recording of defects and the collation of metrics and KPI information for reporting purposes. The QA & Testing - Senior Technology Analyst will work alongside various project stakeholders to ensure that specific streams of work are progressing, provide guidance by example and act as an escalation point for the QA & Testers and Analysts. The successful candidate is expected to have at least 12-15 years experience in IT projects, preferably with Asset Management Business Applications and Processes. What well offer you: As part of our flexible scheme, here are just some of the benefits that youll enjoy Your key responsibilities: You will drive the hands on execution of the test strategy and plan, including the test preparation, execution, analysis and reporting activities. You will be responsible for the accurate recording of defects and the collation of metrics and KPI information for reporting purposes. You will provide product/business expertise to drive and support the testing approach You will support to develop and implement technical solutions for the testing process, like test automation, performance testing or test data provisioning You will identify the tasks and resources needed to ensure that their specific portion of the testing process meets software quality requirements prior to release into a live environment. You will review and implement test process improvement regularly Alternately the QA Tester will demonstrate specialist Business Testing knowledge or exceptional business/functional expertise. The QA & Testing - Senior Technology Analyst will work alongside various project stakeholders to ensure that specific streams of work are progressing, provide guidance by example and act as an escalation point for the QA & Testers and Analysts. Your skills and experience: Must be a professional Graduate with at least 12-15 years experience in IT projects, and of that minimum 3 years with Asset Management Business Applications and Processes testing Should gave Strong hands-on experience with manual and automation testing methodologies and Software Testing life cycle including experience in IT Quality Assurance processes. Able to write Test Cases for End-to-End Asset Management business process flows involving integration of different Applications Candidate Should have hands-on experience on tools like JIRA and HP-ALM and should understand automation frameworks like Jenkins and TeamCity Strong knowledge in Asset Management domain and good experience in industry leading applications like BRS-Aladdin and SimCorp Dimension is preferred. Experience in i-Croci application will be an added advantage. A Very Good communication skills in English language Willingness to Learn new technologies and flexible to get cross trained whenever required.

Hiring, Middle and Back Office Data Analyst (Senior Manager) with following skills and experience. 14+ years Data Analysis / Business Analysis Excellent knowledge of data life cycle that drives Middle and Back Office capabilities Snowflake - must Asset Management industry - must Technical Skills (Must Have): 14+yrs with minimum 5 years as a senior business/technical/data analyst adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. Excellent knowledge of data life cycle that drives Middle and Back Office capabilities such as trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund & cash positions, custody, collaterals/margin movements, corporate actions , derivations and calculations such as holiday handling, portfolio turnover rates, funds of funds look through. Excellent hands-on SQL, Advanced Excel, Python, ML (optional)

1. Manage full trade lifecycle across Fixed Income and other asset classes 2. Perform daily reconciliations of cash and positions with internal systems and external parties 3. Assist in accurate NAV calculation & validation with fund accounting teams

Hiring, Middle and Back Office Data Analyst (Senior Manager) with following skills and experience. 10+ years Data Analysis / Business Analysis Excellent knowledge of data life cycle that drives Middle and Back Office capabilities Snowflake - must Asset Management industry - must Technical Skills (Must Have): 10+yrs with minimum 5 years as a senior business/technical/data analyst adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. Excellent knowledge of data life cycle that drives Middle and Back Office capabilities such as trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund & cash positions, custody, collaterals/margin movements, corporate actions , derivations and calculations such as holiday handling, portfolio turnover rates, funds of funds look through. Excellent hands-on SQL, Advanced Excel, Python, ML (optional)

Hiring, Investment Management and Risk Data Product Owner - ISS Data (Associate Director) Role The Investment and Risk & Attribution Data Product Owner role is instrumental in the creation and execution of a future state design for investment and risk data across our key business areas. The successful candidate will have an in-depth knowledge of all data domains that services Investment management, risk and attribution capabilities within the asset management industry. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned to deliver cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our clients. Key Responsibilities Leadership and Management: Lead the Investment and Risk data outcomes and capabilities for the ISS Data Programme. Realign existing resources and provide coaching and line management for junior data analysts within the chapter, influence and motivate them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead data product documentation, enable peer-reviews, get analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for improving efficiencies and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. An advocate for the ISS Data Programme. Coordinate with internal and external teams to communicate with those impacted by data flows. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. Essential Skills Required Strong leadership and senior management level communication, internal and external client management and influencing skills. At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry. 5-10 years s a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. In depth knowledge of how data vendor solutions such as Rimes, Bloomberg, MSCI, FactSet support Investment, Risk, Performance and Attribution business needs. Outstanding knowledge of data life cycle that drives Investment Management such as research, order management, trading, risk and attribution. In depth expertise in data and calculations across the investment industry covering the below. Financial data: This includes information on asset prices, market trends, economic indicators, interest rates, and other financial metrics that help in evaluating asset performance and making investment decisions. Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules. Market data: This includes data like security prices, exchange rates, index constituent and licensing restrictions on them. Risk data: This includes data related to risk factors such as market risk, credit risk, operational risk, and compliance risk. Performance & Attribution data: This includes data on fund performance returns and attribution using various methodologies like Time Weighted Returns, Transaction based performance attribution. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms. Knowledge of data management, data governance and data engineering practices. Hands on experience on data modelling techniques like dimensional, data vault etc. Willingness to own and drive things, collaboration across business and tech stakeholders.