Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 248 days ago

Quantitative Trading Analyst

Maven44 open roles

Where
London
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowQuantitative Trading AnalystMaven · London

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Maven's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Maven postings stay open a median of 15 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 248 days ago

Maven median: 15 days open

The posting

About Maven

Maven Securities is a technology-driven proprietary trading firm trading its own capital across options market making, high-frequency, and multi-strategy discretionary strategies — from London, Amsterdam, and offices across the US and Asia. We combine deep trading, technology, and research expertise to improve liquidity across global listed derivatives, with AI embedded in how we operate day to day.

The Role

As a Quant Trading Analyst within our Market Intelligence team, you will sit at the intersection of research, technology, and trading. You will turn raw trading data into high-value insights, build the analytics and AI tooling that Portfolio Managers (PMs) rely on daily, and deliver data-backed recommendations that materially and measurably improve PnL. This is a high-impact, high-ownership role for someone who wants their analysis to translate directly into trading performance.

What You Will DO

  • Improve returns on existing strategies - Analyse performance at trade and strategy level, deliver data-backed recommendations to PMs, and maintain follow-through to implementation and outcome measurement. Success is quantifiable, recorded, and tied to material PnL improvement - not one-off analysis.
  • Build analytics infrastructure & AI tooling for PMs - Develop and standardise tools that generate high-value insights, and establish an AI foundation that accelerates PMs' day-to-day decision-making, working with Support and Technology teams where appropriate.
  • Drive quantitative strategy research - Build a trading framework applied across multiple global strategies, identify style drift early and escalate to PMs and the HoMI, and document research in a reproducible format.
  • Create synergies and global engagement - Develop strong dialogue across the Market Intelligence team and build proactive, positive relationships with PMs that deepen engagement and adoption of market intelligence tooling.

Key Responsibilities

  • Develop advanced analytics infrastructure - Engineer scalable Python-based libraries and tools that standardise performance metrics across the group, and create automated workflows that convert raw trading data into insights for PMs and the Investment Committee.
  • Conduct quantitative strategy research - Perform rigorous statistical analysis on trade- and portfolio-level data to decompose PnL drivers, and identify alpha decay, parameter inefficiencies, and execution drag to deliver actionable research.
  • Improve returns on existing strategies - Identify inefficiencies and optimisation areas, deliver recommendations backed by data, and maintain follow-through to outcomes.
  • Highlight trading risks & opportunities - Monitor portfolio exposures, performance trends, and market signals to surface emerging risks and identify underutilised or mispriced opportunities across strategies.

Candidate Profile

Essential

  • 2–5 years of experience specifically within a Hedge Fund, Proprietary Trading Firm, or Quantitative Asset Manager.
  • Strong proficiency in Python (Pandas, NumPy, SciPy) for data analysis and simulation; SQL knowledge is essential.
  • Deep understanding of the trade lifecycle and buy-side strategies (e.g., Relative Value, Stat Arb, Volatility).
  • Outstanding numerical skills and excellent attention to detail.
  • Fast problem-solving skills and excellent communication and teamwork.

Highly valued

  • An understanding of how AI can support role-specific responsibilities while maintaining appropriate governance and compliance.
  • Proactive interest in improving existing strategies and identifying new opportunities.
  • Ability to take a high level of responsibility in an expanding, highly successful firm.
  • Demonstrable wider interest in financial markets.

What We Offer

  • Competitive compensation package
  • Annual discretionary bonus
  • Group pension plan
  • Enhanced annual leave allowance after 2+ years’ service
  • 25 days’ annual leave (plus public holidays)
  • Fully catered breakfast, lunch, and snacks prepared by an in-house chef
  • Private healthcare and life assurance
  • On-site private gym with instructor-led classes including boxing, yoga, and more
  • Monthly company events and social activities
  • Work in a forward-thinking environment where AI is integral to our strategy and daily operations
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Maven's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Maven's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Maven's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.