Associate

RCQ Associates - Financial Markets Specialists

Greater London

On-site

GBP 70,000 - 110,000

Full time

43 hours ago
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Job summary

RCQ Associates - Financial Markets Specialists in London is seeking an Analyst or Associate to join the valuations team focused on data-driven, regression-based daily valuations for secondaries and private markets.

You will work with a STEM background, strong Python and Excel skills, and be comfortable with late UK hours to align with US clients. The role blends finance, data science and product development in a fast-growing firm.

Qualifications

  • A STEM degree from a top university with excellent academics.
  • 2–6 years experience; Analyst 2+ years, Associate 4+ years.
  • Strong Python and Excel, knowledge of VBA and BI tools.
  • Experience with regression models and applied analytics.
  • Maturity, ownership and a self-starting attitude.

Responsibilities

  • Build, calibrate and run regression models that drive daily valuations.
  • Interrogate data and chase down anomalies to ensure accuracy.
  • Second-level review of offshore data science work.
  • Support complex financial models for fund structures and startups.
  • Prepare fee proposals, scoping discussions and pricing memos.
  • Pitch to clients and develop new tech-led valuation products.
  • Partner with the MD to originate new tech-led valuation mandates.

Skills

Python
Excel
VBA
Power BI
Sigma
Data analysis
Regression modelling

Education

STEM degree

Job description

We're working with a global valuation and financial advisory firm who are growing their funds Valuation practice. They are hiring an Analyst or Associate into their London office.

This is a quant-flavoured finance role, applying data science principles to valuation problems.

If you have an engineering or hard-science background, strong Python, and enough finance exposure to know you want to go deeper into it, this could be a good fit.

The team provides independent valuations to alternative asset managers and funds, including evergreen funds (SICAVs and their US equivalents) across private credit and private equity, with a heavy concentration in secondaries.

The core of the work is daily valuations on secondaries positions. The team has access to an enormous volume of client data and a real appetite for turning it into new products.

What you'll actually do
  • Build, calibrate and run the regression models that drive daily valuations
  • Interrogate and understand the data clients send you, and chase down what doesn't look right
  • Second-level review of work produced by an offshore team of data scientists
  • Support complex financial models for specific fund structures and complex start ups
  • Prepare fee proposals, scoping discussions, pitch materials and internal pricing memos
  • Pitch to clients, including new products and running proofs of concept
  • Partner with the MD to origin new tech-led valuation mandates

Due to the US client base of this business line, you will need to be comfortable working and being available in the later evening UK time - in practice this can mean a later start and finish than a typical 9-5.

What they're looking for
  • A STEM degree from a top university, with excellent academics (ideally a 1st or high 2:1. Master's level qualification is also welcome
  • 2 to 6 years of experience. Roughly 2+ for Analyst, 4+ for Associate
  • Good Python proficiency as well as Excel, and familiarity with VBA and a BI tool such as Power BI or Sigma
  • Good working knowledge and practical experience of regression models and applied analytics
  • Maturity, ownership and a self-starting streak
Nice to have:
  • Financial services or capital markets experience,
  • CFA or MBA
Why this role is worth a conversation
  • The client list is the top tier of secondaries investors, and it is growing fast
  • You'll learn valuation properly, using the analytical toolkit you already have, rather than starting from scratch
  • You'll be building the automation and LLM tooling
  • Two or three years here gives you a combination of quantitative skill, AI fluency and private markets knowledge that very few people have
  • The valuation work will cover some of the most talked-about private companies in the world
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