5 Blackrock Aladdin Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. As a Compliance rule coder and tester on Blackrock Aladdin/other platforms professional, you will utilize your expertise and prior work experience on one or more asset classes such as fixed income, equity, derivatives, etc. Your responsibilities will include Guideline Interpretation, Rule Coding and Testing, Pre Trade & Post Trade Compliance Monitoring, and Investment Compliance. Technical experience in working with data, understanding relational data models, and executing SQL queries is essential. Exposure to working with Wealth and Asset Management firms and a complete understanding of the Buy side business will be required. Your client responsibilities will involve working as an individual contributor/lead in one or more Wealth and Asset Management projects. You may need to manage a team of junior business analysts based on project requirements. Communication with onsite coordinators, completion of assigned tasks on time, regular status reporting to the lead, manager, and onsite coordinators, as well as interface with customer representatives as needed will be part of your role. Travel to customers" locations may be required on a need basis. In terms of people responsibilities, you will be expected to build a quality culture, manage the performance of direct reportees, foster teamwork, lead by example, provide training and mentoring to project resources, and participate in organization-wide people initiatives. Mandatory skills for this role include sectorial experience in financial services/capital markets, with domain knowledge on different asset classes across front office, middle office, and back office for either or both buy and sell side of business. Knowledge of portfolio management, trade execution, data control and operations, and portfolio administration is crucial. You should have experience in understanding client requirements, relating them appropriately to the team, defining and validating customization needs for packages as per client requirements, and expertise in Oracle, MS SQL, DB2 databases, and good data analytics skills. In-depth knowledge of CFA concepts like portfolio management, wealth planning, Fixed income, Equity, Alternate investment, Derivatives, etc., is required. Leadership skills are essential for this role, along with excellent client-facing abilities. A degree in MBA/MCA/BE/B.Tech or equivalent with 8 to 10 years of experience in the financial services industry is preferred. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate across assurance, consulting, law, strategy, tax, and transactions. EY teams ask better questions to find new answers for the complex issues facing our world today.,

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.

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.

Location:Vidyavihar Develop investment policies, build and manage portfolios, trade securities, assess client risk, maintain relationships, ensure regulatory compliance, monitor performance, prospect new clients, and track market and economic trends

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.