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Where you'll fit in & what our team goals are.... Your primary responsibility will be the measurement and management of the risk taken across our range of fixed income funds. You will be part of our EMEA Investment Risk team, with exposure globally, partnering with the portfolio managers to ensure risk levels are consistent with client objectives, promoting risk-aware portfolio construction and providing insightful analytics. You will be required to effectively communicate your findings to stakeholders around the business and form good working relationships across areas such as product management, distribution and technology, in addition to investment teams.
The role requires an understanding of risk management techniques and of fixed income instruments and markets.
How you'll spend your time....
Analyze Columbia Threadneedle Fixed Income funds to understand the key risks and communicate findings with the risk team and fund managers.
Ensuring the level and types of risks are appropriate on all supported funds and mandates the candidate is responsible for, raising appropriate levels of challenge where necessary.
Conduct insightful market analysis and summarise findings for escalation to risk committees and senior leaders.
Develop key relationships with other departments.
Recommend and establish improvements to the team's processes.
To be successful in this role you will have....
Good understanding of fixed income instruments and their use in portfolio construction
Good understanding of financial markets and risk management
Good understanding of market risk measures
Good communication skills with the ability to interact with different departments
Strong technical skills
If you also had this, it would be great....
Good academic record in a quantitative or scientific field
Inquisitive nature with self drive and ambition
Studies towards or completion of additional qualifications are desirable but not compulsory (IMC / CFA / FRM)
Knowledge of a system such as Aladdin, FactSet, Bloomberg, and/or other financial software
Experience with, or motivation to learn, programming languages such as R, Python and SQL.