Quantitative Analyst, Solutions Research and Analytics

London - Portman Square

Invesco

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As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world.

If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Job Description

We have an outstanding benefits package which includes: 

  • Company-provided healthcare 

  • A competitive annual leave allowance 

  • Flexible working options, including hybrid working arrangements  

  • Generous pension provisions 

  • Income protection 

  • Health and wellness benefits 

  • Volunteering days 

  • Enhanced parental leave 

  • Life insurance 

 

 Your Role:

As part of the solutions research and analytics team, you will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities.  You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform – Invesco Vision®. The role will allow for significant opportunities for creativity and innovation.

What we are looking for: 

  • Helping construct multi-asset portfolios using advanced asset allocation and portfolio construction techniques

  • Building high performance computing algorithms, infrastructure and APIs

  • Researching and building prediction and forecasting methods based on both classical statistical techniques as well as ML based techniques including Generative AI

  • Helping translate investment frameworks from various segments of the market (i.e. cash flow driven investing, liability driven investing, insurance capital efficient portfolio construction) into tangible investment and client engagement tools

  • Leveraging advanced optimisation techniques to create optimal portfolio solutions

  • Employing multi-period simulation tools to project and optimise performance in the context of flows and optionality

  • Integrating third party risk models in various portfolio construction exercises

  • Designing and maintaining procedures and tools that make data management and research more efficient

  • Working closely with the rest of solutions research and technology groups in leveraging best practices from a financial theory and technological perspective.

  • Formulating new ideas for research that will help enhance frameworks and tools

  • Following academic research and industry trends so as to constantly incorporate best practices

What you can bring: 

  • Advanced degree in quantitative disciplines such as engineering, finance, operations research, or computer science is required

  • Solid understanding of standard financial engineering techniques

  • Excellent knowledge of statistics and optimisation

  • Excellent programming skills (preferably in Python)

  • Experience in developing and deploying machine learning models, with a focus on neural network architectures like LSTM, CNNs and transformers in financial contexts

  • Proficient in programming scikit-learn, TensorFlow and PyTorch for neural network modeling

  • Experience managing and manipulating large data sets (preferably in SQL)

  • Strong ability to learn and translate abstract principles into systematic algorithmic representations

  • Some experience using third party risk models such as BarraOne or Axioma

  • Progress towards CFA designation preferred

  • Ability to prioritise work and allocate time efficiently to maximise impact to investment process

  • Very strong attention to detail with internal drive to sanity check and triangulate results

  • Strong interpersonal and partnership skills

  • Passion to deliver excellent work

Disability Confident Scheme 

Applicants who opt in to the Disability Confident Scheme and meet the ‘minimum criteria’ for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme.  

 

The Disability Confident Scheme only guarantees an interview – it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. 

 

To apply through the Disability Confident Scheme, you’ll need to firstly ensure you have applied for the role via our external careers page. Following this, you’ll need to email us at EMEA-TalentAcquisition@invesco.com confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for.  

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model


At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. 

If this sounds like you, we’d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments)

Equal Opportunities:
We are an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage everyone to join us, and be themselves at work.

Our commitment to the community and environmental, social and governance investing:
We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about.  We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience. 

Recruitment Agencies: 
Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.

Regulatory:
This position may fall in-scope of one or multiple regimes/directives.

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Tags: APIs Architecture Computer Science Data management Engineering Finance Generative AI HPC LSTM Machine Learning ML models Python PyTorch Research Scikit-learn SQL Statistics TensorFlow Transformers

Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Parental leave Wellness

Region: Europe
Country: United Kingdom

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