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Quantitative Analyst, Solutions Research & Analytics

ExperiencedNo visa sponsorship
Invesco logo

at Invesco

Asset Management

Posted 11 days ago

No clicks

**Quantitative Analyst, Solutions Research & Analytics at Invesco** Join Invesco, a leading global investment firm, as a Quantitative Analyst in our Portfolio Construction and Engineering team. You'll collaborate with top-tier researchers and technologists to evolve our investment capabilities. **Key Responsibilities:** - Construct multi-asset and single asset portfolios using advanced techniques - Develop high-performance computing algorithms and APIs - Research and build prediction methods using statistical and ML techniques - Translate investment frameworks into tangible tools for stakeholders - Optimize portfolios and simulate performance using advanced techniques - Integrate third-party risk models and manage data efficiently - Stay updated on industry trends and contribute new research ideas **Required Skills & Experience:** - Solid understanding of financial analytics, with a focus on Pension and Insurance related analytics - Excellent knowledge of statistics and optimization - Advanced degree in quantitative disciplines (e.g., engineering, finance, computer science) - Strong algorithmic problem-solving skills and ability to work in a hybrid environment Invesco offers outstanding benefits and promotes an inclusive working environment. The role is full-time and based in London, with a hybrid work arrangement.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

As one of the worlds leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. 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, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

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 Portfolio Construction and Engineering 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.

Key Responsibilities:

  • Helping construct multi-asset and single 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 Agentic workflows leveraging 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 tool

  • Leveraging advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders

  • Employing multi-period simulation tools to project and optimize 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 other quantitative and technology teams in the firm 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 to constantly incorporate best practices

What you can bring:

  • Solid understanding of standard financial analytics and metrics with focus on Pension and Insurance related analytics

  • Experience with matching adjustment calculations and pension regulations will be a plus

  • Excellent knowledge of statistics and optimization

  • Some experience using third party risk models such as BarraOne or Axioma will be a plus

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

  • Progress towards CFA designation preferred

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

Disability Confident Scheme:

Applicants who opt in to the Disability Confident Scheme and meet the 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, youll need to firstly ensure you have applied for the role via our external careers page. Following this, youll need to email us at emea-talentacquisition@invesco.comconfirming 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


Pursuant to Invescos Workplace Policy, employees are expected to comply with the firms most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each others growth and development.

If this sounds like you, wed 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)

We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to 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.

Location: London, London

Time Type: Full time

Quantitative Analyst, Solutions Research & Analytics

Compensation

Not specified

City: London

Country: United Kingdom

Invesco logo
Asset Management

11 days ago

No clicks

at Invesco

ExperiencedNo visa sponsorship

**Quantitative Analyst, Solutions Research & Analytics at Invesco** Join Invesco, a leading global investment firm, as a Quantitative Analyst in our Portfolio Construction and Engineering team. You'll collaborate with top-tier researchers and technologists to evolve our investment capabilities. **Key Responsibilities:** - Construct multi-asset and single asset portfolios using advanced techniques - Develop high-performance computing algorithms and APIs - Research and build prediction methods using statistical and ML techniques - Translate investment frameworks into tangible tools for stakeholders - Optimize portfolios and simulate performance using advanced techniques - Integrate third-party risk models and manage data efficiently - Stay updated on industry trends and contribute new research ideas **Required Skills & Experience:** - Solid understanding of financial analytics, with a focus on Pension and Insurance related analytics - Excellent knowledge of statistics and optimization - Advanced degree in quantitative disciplines (e.g., engineering, finance, computer science) - Strong algorithmic problem-solving skills and ability to work in a hybrid environment Invesco offers outstanding benefits and promotes an inclusive working environment. The role is full-time and based in London, with a hybrid work arrangement.

Full Job Description

As one of the worlds leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. 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, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

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 Portfolio Construction and Engineering 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.

Key Responsibilities:

  • Helping construct multi-asset and single 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 Agentic workflows leveraging 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 tool

  • Leveraging advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders

  • Employing multi-period simulation tools to project and optimize 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 other quantitative and technology teams in the firm 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 to constantly incorporate best practices

What you can bring:

  • Solid understanding of standard financial analytics and metrics with focus on Pension and Insurance related analytics

  • Experience with matching adjustment calculations and pension regulations will be a plus

  • Excellent knowledge of statistics and optimization

  • Some experience using third party risk models such as BarraOne or Axioma will be a plus

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

  • Progress towards CFA designation preferred

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

Disability Confident Scheme:

Applicants who opt in to the Disability Confident Scheme and meet the 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, youll need to firstly ensure you have applied for the role via our external careers page. Following this, youll need to email us at emea-talentacquisition@invesco.comconfirming 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


Pursuant to Invescos Workplace Policy, employees are expected to comply with the firms most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each others growth and development.

If this sounds like you, wed 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)

We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to 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.

Location: London, London

Time Type: Full time