Lead Data Analyst

About The Opportunity
Job Type: Permanent

Application Deadline: 30 November 2025

Job Description
Title:
Middle and Back Office - Lead Data Analyst

Department:
ISS Delivery

Location:
Dalian

Level:
4

About Fidelity International
Fidelity International offers world class investment solutions and retirement expertise. As a privately owned, independent company, investment is our only business. We are driven by the needs of our clients, not by shareholders. Our vision is to deliver innovative client solutions for a better future.

Our people are passionate, engaged, smart and curious, and we give them the independence and the confidence to make a difference. While we take pride in the excellence of our investment solutions and client service, we know we can always do better. We are honest, respectful and make tough calls, challenging the status quo to achieve better outcomes through innovation. Above all else, we always put our clients first.

About Fidelity Dalian
Established in 2007, FIL Technology (Dalian) Limited was the Fidelity's first wholly owned enterprise in China. The Dalian office initially served as a systems development centre to bolster Fidelity's growing business in the Asia Pacific region, with a primary focus on providing technology and web-based support and services. The office has continued to expand in recent years and now acts as the central service hub for the Asia Pacific region supporting multiple business functions including systems development and support, systems infrastructure support, retail operations, finance accounting services and investment administration & fund accounting.

Team Description
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 Fidelity's 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 Fidelity's 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 Fidelity's 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
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.

Experience And Qualifications Required
Essential Skills and Experience

• Demonstrated learning ability and interest in Investment knowledge.
• Highly efficient English communication skills in both writing and speaking is required.
• Highly sufficient skills in Microsoft Excel and SQL are required.
• Should possess Problem Solving, Attention to detail, Critical thinking.

Desirable Skills And Experience

• Experience or qualifications within investment industry covering the below is highly preferred.

• 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.

• 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 is preferred.

• Experiences on Python and data visualization tool is preferred.
• Experience with data management, data governance, data engineering practices and database platform - Snowflake, Azure, etc. is preferred.
• Global stakeholder management and global collaboration model experience is highly preferred.
• Extensive experience in data analysis, data manipulation, and data modelling.

Feel rewarded
For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work – finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit

For more about our work, our approach to dynamic working and how you could build your future here, visit

I acknowledge and agree that:

• the above job description does not form part of the employment contract. The Company reserves the right to review and amend an employee's job description on a temporary or permanent basis pursuant to business requirements, the employee's work performance and capabilities, and/or any change in the employee's role or reporting line; and
• the above job description, as well as any other performance targets which may be agreed with my manager, forms part of the basis in assessing whether I am able to satisfy the conditions of recruitment for the purposes of determining probation outcome.

Employee Name: __________________________ Date: __________________________

Signature: ___________________________