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Fidelity International

Portfolio Construction & Risk Analyst

Wealden
Posted about 19 hours ago
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About the Opportunity

Job Type: Permanent

Application Deadline: 21 August 2026

Title: Portfolio Construction & Risk Analyst

Department: Portfolio Construction & Risk

Location: London or Hong Kong

Reports To: Global Head of Portfolio Construction & Risk Multi-Asset, Fixed Income and Real Estate

Level: Level 5 (Manager)

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more. As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond.

About your team

The Portfolio Construction & Risk team sits within FIL’s cross-asset investment platform, supporting investment teams across Fixed Income, Multi-Asset and Real Estate. The team leads first-line investment risk oversight, partnering with Portfolio Managers, CIOs and investment teams on portfolio construction, analytics, governance and risk challenge. It contributes to key forums including Quarterly Fund Reviews, CIO risk discussions and investment governance meetings.

As data, technology and AI become increasingly important to investment decision-making, the team is strengthening its ability to build scalable analytical tools, manage large datasets, automate analysis and deliver timely, decision-useful portfolio insights.

This is an excellent opportunity to join a high-impact team at the intersection of investments, risk and portfolio construction. You will gain exposure to senior investors, contribute to important strategic initiatives, and help shape the tools, frameworks and insights that support better investment decisions across FIL.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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About your role

This role supports the Portfolio Construction & Risk team’s growing remit across investment risk, analytics and data infrastructure, with a particular focus on systematic and quantitatively driven strategies. It is suited to someone with strong programming and data engineering skills who wants to apply them in a first-line investment risk environment.

You will build tools, automate analysis and work with large datasets to deliver clear insights to Portfolio Managers, CIOs and senior stakeholders. You will also help the team understand the drivers of risk, return and portfolio construction model behaviour across different market environments.

Core platforms include Python, Snowflake, third-party risk systems and emerging AI tools.

Key responsibilities:

  • Deliver portfolio analytics, risk oversight and construction advice across Fixed Income, Multi-Asset and systematic strategies.
  • Assess factor exposures, model behaviour, drawdowns, diversification and risk-adjusted outcomes.
  • Build and maintain analytical tools in Python, applying reusable code, testing, version control and automation.
  • Query and analyse large datasets, including holdings, transactions, risk model outputs, benchmarks and market data, using Snowflake.
  • Support Quarterly Fund Reviews and governance forums, presenting portfolio risks clearly to stakeholders.
  • Respond to analytical requests from Portfolio Managers, CIOs and clients.
  • Conduct quantitative research to support portfolio construction decisions.
  • Apply AI and automation, including agentic and LLM-based workflows, to research, reporting and code generation, while keeping outputs explainable and governance-aligned.
  • Work with third-party platforms such as MSCI Barra, Bloomberg MARS and RiskMetrics to support best-practice portfolio analytics.
  • Collaborate across investments, risk, data and technology on framework enhancements and ad hoc projects.

About you:

  • Degree in Computer Science, Engineering, Mathematics, Statistics or another quantitative discipline. Finance or Economics backgrounds will also be considered where accompanied by strong programming and data experience.
  • Strong Python skills, with a track record of building analytical tools, automating workflows and working with large financial or investment datasets.
  • Practical experience with Snowflake, SQL or similar data platforms would be strongly advantageous.
  • Good understanding of quantitative investment concepts, including factor exposures, risk models, back-testing, tracking error, volatility, drawdowns, diversification and risk-adjusted performance.
  • Familiarity with systematic or factor-based investment strategies would be a strong advantage.
  • Good software development practices, including version control, testing, documentation and modular, reusable code.
  • Experience applying AI or automation to research, analysis, reporting or coding would be valuable.
  • Exposure to agentic AI or LLM-based workflows would be a plus.
  • Prior experience in asset management, investment risk or quantitative research would be beneficial.
  • Familiarity with MSCI Barra, Bloomberg MARS, RiskMetrics or similar platforms would be helpful.
  • Strong communicator, able to translate complex analysis into clear, decision-useful insights for senior stakeholders.
  • Proactive and solutions-oriented, with a track record of improving processes and building tools.
  • Progress towards CFA, FRM, CQF or similar would be welcomed, with support provided as appropriate.

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Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

As an international financial services organisation, we are in-scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual Conduct Rules (COCON) apply to it, along with any other regulation. We provide training on COCON and how it affects our employees. More information about COCON can be found in the Employment Handbook.

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Skills

Python
Snowflake
SQL
Portfolio Construction
Investment Risk Management
Quantitative Research
Factor Exposure Analysis
Data Engineering
AI and LLM Workflows
MSCI Barra
Bloomberg MARS
RiskMetrics
Version Control
Financial Modeling
Back-testing
Risk-Adjusted Performance

Location

Wealden, England, United Kingdom

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