Senior Manager- Middle and Back Office Data Analyst- ISS,

About the OpportunityJob Type: Permanent

Application Deadline: 30 June 2025

Job Description

                                                                                                

Title: Middle and Back Office Data Analyst - ISS Data (Senior Manager)        

Department: Technology                                                           

Location: Bangalore & Gurgaon (hybrid / flexible working permitted)

Reports To: Middle and Back Office Data Product Owner

Level: Senior Manager

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like you’re part of something bigger.

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 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.

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 services /asset 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.

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 careers.fidelityinternational.com.

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