Fixed Income Data Scientist - M&G plc.

eFinancialCareers
City of London
4 months ago
Applications closed

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At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

The role

Investments Data Science team is seeking a highly skilled and curious Fixed Income Data Scientist to enhance our quantitative and systematic research capabilities in Public Fixed Income area. This is an entrepreneurial position which offers a lot of flexibility to define directions for research and product development. You will be working directly with Fund Managers and Analysts to understand investment process and then enhance it with the most appropriate techniques ranging from econometrics models to Generative AI.

The ideal candidate would be an entrepreneurial self-starter with hands-on experience developing systematic investment ideas from inception to production.

Responsibilities

  • Working with Public Fixed Income Fund Managers and Analysts to define quantitative research and Generative AI applications in investment process
  • Prioritise those applications and implement them collaborating with M&G Investments technology function
  • Act as subject matter expert in Quantitative Methods applications for Fixed Income
  • Collaborate with Systematic Investment Strategies team on firm-wide quantitative research projects
  • Mentor less experienced colleagues in quantitative research methods application in Fixed Income investing

Requirements

  • Self-starter, collaborative attitude, acting with integrity
  • Strong programming skills in Python and experience with database technologies such as Azure Databricks, Delta Lake and SQL Server
  • Understanding of Fixed Income and appropriate quantitative methods, for example, Fixed Income factors, portfolio optimisation and construction, strategy backtesting
  • Experience using Machine Learning in the investment process, such as creating factor models and explaining their workings to less technical audience
  • Familiar with data visualisation tools and techniques to convey investment ideas to broader audience

Desirable, but not essential:

  • Classical ML and Deep Learning algorithm knowledge
  • Azure DevOps and Cloud Development experience
  • Familiarity with Azure Databricks
  • CQF / CFA
  • Familiarity with Generative AI applications in investment process or willingness to learn

Recruiter: Sarah Hawkins
Location: London
Job Level: Manager or Expert

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. Being a Disability Confident Leader means that candidates who meet the minimum criteria of a job, will be offered an interview if they 'opt in' to the scheme when applying.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at:


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