Senior Data Team Leader - United Kingdom - Morningstar Credit Ratings, LLC

Description

No. of position: 1

Shift: UK

Morningstar is seeking a Senior Team Leader to join the Fixed Income Data & Analytics team . The Senior Team Leader is part of the team responsible for developing critical data and analytics solutions in fixed income that will be used by Morningstar's entire product landscape. We offer room for growth and a high level of personal responsibility in a challenging environment. As a successful candidate, you will take an active part in the development of new data and analytics solutions that address real client needs.

In this role, you will be asked to gather and interpret data requirements, perform research and analysis, as well as to work on data mappings from multiple sources. Based on financial engineering knowledge, t he Senior Team Leader will write Python backend engines / systems that will be integrated and implemented by development teams.

This position would also be expected to lead key fixed income data and analytics projects within Morningstar that require partnering with product and other data teams in order to develop the fixed income roadmap at Morningstar.

Responsibilities:

Hands-on development of backend Python systems will be an integral part of the responsibilities

Research, design, execute, test and document fixed income 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 as needed

Communicating results to rating analysts, senior management and other key stakeholders

Requirements

A minimum of 5 years experience in backend Python development (beyond simple Jupyter notebooks)

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)

Experience with Git

At least basic financial engineering skills and experience

At least basic knowledge of fixed income markets and securities

Highly proficient with SQL (MySQL, Postgres, MariaDB, MS Access etc)

Highly proficient with database design, creation, population and trouble-shooting

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 Highly Valued

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.

Position : Senior Data Team Leader
Department : Fixed Income Team

Team : Fixed Income Engineering

No. of position: 1

Shift: UK

Morningstar is seeking a Senior Team Leader to join the Fixed Income Data & Analytics team . The Senior Team Leader is part of the team responsible for developing critical data and analytics solutions in fixed income that will be used by Morningstar's entire product landscape. We offer room for growth and a high level of personal responsibility in a challenging environment. As a successful candidate, you will take an active part in the development of new data and analytics solutions that address real client needs.

In this role, you will be asked to gather and interpret data requirements, perform research and analysis, as well as to work on data mappings from multiple sources. Based on financial engineering knowledge, t he Senior Team Leader will write Python backend engines / systems that will be integrated and implemented by development teams.

This position would also be expected to lead key fixed income data and analytics projects within Morningstar that require partnering with product and other data teams in order to develop the fixed income roadmap at Morningstar.

Responsibilities:

• Hands-on development of backend Python systems will be an integral part of the responsibilities
• Research, design, execute, test and document fixed income 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 as needed
• Communicating results to rating analysts, senior management and other key stakeholders

Requirements

• A minimum of 5 years experience in backend Python development (beyond simple Jupyter notebooks)
• 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)
• Experience with Git
• At least basic financial engineering skills and experience
• At least basic knowledge of fixed income markets and securities
• Highly proficient with SQL (MySQL, Postgres, MariaDB, MS Access etc)
• Highly proficient with database design, creation, population and trouble-shooting
• 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 Highly Valued
• 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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