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iSAM

Quantitative Developer - iSAM Securities

London
Posted about 21 hours ago
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iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities.

iSAM Securities, regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers.

iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.

About the Role

Our team builds and operates the low-latency distributed systems at the core of our trading platform - market data, order routing, pricing, execution, risk, and the messaging fabric that ties them together. This is a hands-on senior engineering role for someone who has architected such systems in a trading environment, not just maintained them. You will join a collaborative team where you have a strong technical voice, contributing to design and driving both the systems and the engineering processes around them to a better state.

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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?

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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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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Responsibilities

  • Contribute to and help shape the design of latency-critical distributed components: market data, order routing, execution, risk, and the messaging fabric between them.
  • Drive systems and engineering processes to a better state: identify weaknesses, propose direction, and deliver improvements end to end.
  • Reason about the full latency stack across network, hardware, OS, and language layers, and make deliberate, measured trade-offs.
  • Deliver at scale across multiple engineers and teams: set technical direction, align stakeholders, and coordinate delivery.

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Qualifications

  • Fluent in modern C++.
  • Proven track record designing critical low-latency distributed systems in a hedge fund, prop trading, or investment banking environment.
  • Concrete, demonstrable understanding of what drives a latency profile across the network, hardware/architecture, OS, and language layers.
  • Demonstrated ability to deliver large efforts spanning multiple people and teams.
  • Enough hard-won production experience ("scars") to know which approaches to avoid and why.
  • Experience delivering performance-critical systems measured and tuned against demanding latency targets.
  • Exposure to exchange connectivity and market data.

Personal Attributes

  • Positive, pragmatic, and collaborative under pressure.
  • A driver, not a passenger: you move systems and teams forward rather than maintaining the status quo or talking without shipping.
  • Deeply aware of trade-offs - performance vs. complexity vs. maintainability vs. delivery time.
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Skills

C++
Low-latency systems
Distributed systems
Market data
Order routing
Execution
Risk management
Messaging fabric
Hardware architecture
Operating systems
Exchange connectivity
Algorithmic trading
Performance tuning
System architecture
Software engineering

Location

London, England, United Kingdom

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