Quantitative Analyst, Solutions Research & Analytics

Invesco; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Company-provided healthcare

Flexible working options

Hybrid working arrangements

Income protection

Health and wellness benefits

Enhanced parental leave

Life insurance

Job summary

Invesco is seeking a Quantitative Analyst to join the Solutions Research & Analytics team in Greater London. You will advance investment capabilities by researching data, building APIs, and developing forecasting methods for the Invesco Vision platform.

The role offers hybrid working options with opportunities to collaborate across quantitative researchers and technologists and to contribute to equity, multi-asset and pension analytics.

Qualifications

• Solid understanding of financial analytics and metrics, with focus on pension and insurance 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 (engineering, finance, OR, CS) required.
• Progress towards CFA designation preferred.
• Strong ability to translate abstract principles into systematic algorithmic representations.

Responsibilities

• Construct multi-asset and single-asset portfolios using advanced allocation techniques.
• Build high-performance computing algorithms, infrastructure and APIs.
• Research and implement prediction and forecasting methods using statistics and ML.
• Translate investment frameworks into tangible tools for clients.
• Leverage optimization to create portfolio solutions for stakeholders.
• Design data management and research efficiency procedures.

Skills

Data management

Statistics

Optimization

APIs

Forecasting

Education

Advanced degree in quantitative disciplines (engineering, finance, OR, CS)

CFA progress (preferred)

Tools

BarraOne

Axioma

Job description

Quantitative Analyst, Solutions Research & Analytics Invesco•Greater London, Greater London, United Kingdom

This job is with Invesco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

As one of the world's 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

Income protection

Health and wellness benefits

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, 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 [e-mail] 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

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's 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 other's growth and development.

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.