Fidelity - Manager - Data Analyst

Key Responsibilities

- Use expert knowledge of data analysis to perform- data mining-able to work with disparate data sources, data preparation-convert raw data into structured data by resolving data errors, quality issues, gaps etc and quality assured data suitable for business use

- Co-ordinate with global business and technology teams to convey all necessary information related to data to ensure all validation rules are identified for quality delivery, helps in resolving any data issues for upstream/downstream and be able to get the gap/missing data fixed at source

- Proactive analysis of data for all possible failures/anomalies/trends/common pattern scenarios before technical build out to get capture all data gaps within solution rather waiting for feedback post prod delivery

- Practitioner experience on analysing existing complex data landscape, simplify & create standard definitions for different subject areas aligning with industry standards

- Skills to cross collaborate across global stakeholders to understand the business process & data to support the same.

- Lead all data quality and data analysis initiatives for structured, semi-structured and un-structured data, with quick turn around for new product development

- Able to articulate various data flows/user journey/business process along with skills to visualise & present to various stakeholders

- Takes ownership of features deployed in beta/prod for any data issues, user queries and pre/post-implementation support to the systems and business teams

- Be the functional champion for the identified business area and build deep expertise on FIL business processes

Behavioural skills

- Fungibility- Ability to flex in different roles as per project demand & willingness to move to new roles

- Learnability- Ability to collectively push the boundary & pioneer the adoption industry patterns. Passion for growing your skills and, tackling challenging problems.

- Self-motivated to rapidly pick new topics, work directly with senior stakeholders and fellow team members in a cordial environment

- Ready to give and receive feedback in a candid way

Experience and Qualifications Required

- About 7-9 years experience in Investment Management domain & data needs of the same

- B. Tech / B.E. or MBA (Finance) preferred

- Thorough understanding of different asset classes Equity, Fixed Income and Derivatives. Experience of working in Fixed Income - Portfolio Management, Research applications or Trading programmes

- Exposure to structured software development life-cycle methodology (preferably Agile or Iterative development) & Production Support processes

- Strong expertise in SQL writing capabilities

- Expert in using MS Office products like Visio and Excel

- Good competence with some financial database such as Bloomberg or FactSet

- Data Preparation & Migration (Python, SQL, Adv. Excel)

- Data Analysis and Visualization (Power BI, Python, Adv. Excel)

- Experience of working with multi-cultural teams in a geographically diverse environment

Nice to have skills include

- Experience of working with 3rd party market data providers like Bloomberg, Reuters etc.

- Experience of working in data platforms

- Understanding of quantitative analysis

- Any financial certification

- Experience of Data visualization tools such as Tableau, PowerBI, will be a plus

- Manage Power BI workspace and perform dashboard health checks