Lead - Data Analyst

About your team

The Technology function provides IT services to the Fidelity International business, globally. 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 Strategic Change agenda, and Fidelitys broader 2030 Vision.

About your role

• The Middle and Back Office Data Analyst role is instrumental in the 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.

About you

Data Product - Requirements Definition and Delivery of Data Outcomes

• Should be able to carry out or facilitate business analysis, information gathering and acquisition, data analysis among others in day-to-day tasks and foster a focus on information/data quality by developing and publishing relevant artifacts and analysis, contributing to the data product roadmap
• Capture both functional and non-functional data requirements considering the data product and consumers perspectives.
• Responsible for the definition of data requirements, epics and stories within the product backlog and providing analysis support throughout the SDLC.
• Should be able to participate in development of strategic roadmaps, tactical plans and helps monitor adherence to overall target direction

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, 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.
• Collaborate closely with Data Governance, Business Architecture, and Data owners etc.

Your Skills and Experience

• At least 7 years exp as a business/technical/data analyst within technology and/or business changes within the financial services /asset management industry.
• 4-5 years as 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, Data Visualization platforms, like OBIEE, Power BI, Tableau etc, 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.