Role : Senior Data Research Analyst
Shift : General/UK
Responsibilities:
- Hands-on development of backend Python systems will be an integral part of the responsibilities
- Research, design, execute, test and document fixed income calculation / data engines
- Liaise between business, implementation, and fixed income teams
- Develop new solutions to improve Morningstar product offerings
- Developing insights on large scale data requiring data cleaning and statistical analysis
- Communicating results to rating analysts, senior management and other key stakeholders
Requirements
- A minimum of 5 years experience in advanced backend Python development
- Highly proficient with PyCharm (or other full suite IDE)
- In-depth knowledge of Object Oriented / Functional Programming principles
- Demonstrated dedication to detailed code documentation and testing (Pytest, unittest)
- Highly proficient with SQL (MySQL, Postgres, MariaDB, MS Access etc)
- Highly proficient with database design, creation, population and trouble-shooting
- Experience with Git
- At least basic financial engineering skills and experience
- At least basic knowledge of fixed income markets and securities
- Ability to 'follow the data' from ingestion to client facing products
- Able to work under tight deadlines and handle pressure during peak seasons.
- Exhibit flexibility as per business requirement
- Excellent written and verbal communication skills
- Committed team player
Education
- At least a BSc in Math, Physics, Engineering, Stats, Computer Sci, or Quant Finance
- In-depth knowledge of Fixed Income and Capital Markets
- CFA or progress towards completion
- Independent personal Git projects (with link). Any subjects of interest.
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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