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KennedyPearce Consulting

Trading Execution & Investment Solutions Analyst

London
£70k – £75k/yr
Posted about 12 hours ago
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Trading Execution & Investment Solutions Analyst

We are currently partnering with a prestigious, technology driven Asset Manager in recruiting a Trading Execution & Investment Solutions Analyst

  • Contract: Permanent
  • Location: West End - Hybrid
  • Salary: £70,000 - £75,000 DOE

Essential Background

  • Trading Execution experience within an asset manager, investment manager or similar financial institution.
  • Good understanding of financial markets and investment products.
  • Experienced in equities, fixed income, investment funds and FX.
  • Strong mathematical and numerical ability.

Job Function

The role will support a broad range of investment activities across the firm’s technology-enabled investment solutions, including model portfolio management, investment platforms, data, analytics and trade execution support.

  • Experience of execution trading across equities, bonds, investment funds, and foreign exchange.
  • Leveraging technology to support the implementation of investment decisions and the wider trading process.
  • Support the day-to-day management and continued development of the firms Model Portfolio.

Reasons to use Rodeo

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?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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P

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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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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Strong

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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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Key Responsibilities

  • Support trading and execution activity across equities, fixed income, investment funds and foreign exchange.
  • Support the implementation of investment decisions.
  • Assist with trade preparation, monitoring, booking and allocation.
  • Work with Operations to help resolve trade breaks and settlement issues.
  • Undertake model rebalancing and support the implementation of portfolio changes.
  • Support model construction and maintenance.
  • Link models to clients and maintain associated platform records.
  • Onboard funds and portfolios onto investment platforms.
  • Maintain platform model datasets.
  • Use investment and portfolio data to support portfolio management, trading and model oversight.
  • Apply strong mathematical and analytical skills to investment, portfolio and data-related problems.
  • Use Python to support data analysis, process automation and the development of internal investment tools.
  • Support the maintenance and development of analytics, models and reporting processes.

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Essential Experience Required

  • 4 years + relevant experience within an asset manager, investment manager or similar financial institution.
  • Understanding of financial markets and investment products.
  • Experience or exposure to equities, fixed income, investment funds and FX.
  • Strong mathematical and numerical ability.
  • Practical Python coding skills, particularly for data analysis and automation.
  • Strong Excel and analytical skills.
  • Strong practical knowledge of Bloomberg.
  • Very good working knowledge of Morningstar and FE Analytics.
  • Experience working with investment portfolios, models and financial data.
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Location

London, England, United Kingdom

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