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Front Office Quant Analyst

Talan talan.com Open · verified Oct 24, 2026
Hybrid London Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Talan. London · full-time · no salary stated · we estimate £62,250–£94,375.

Estimated pay

Talan has not published a salary for this role. The figure below is our estimate, not theirs.

£62,250 – £94,375
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 6 postings that stated pay, median £80,000. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
WorkplaceHybrid
EmploymentFull-time
PostedAug 6, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and improve quantitative tools, trading analytics and reports for Rates and Credit desks
  • Support pricing, risk, P&L and trade analysis across Rates and Credit products
  • Turn traders’ and quants’ needs into front-office tools, and automate desk workflows
  • Examine market, risk and trade data to inform decisions, and resolve production problems affecting users

What you bring

  • You have strong experience in a front-office quant, quant development or trading analytics role
  • You understand Rates or Credit products and their related risk measures
  • You program in Python and SQL, and have used at least one of C++, VBA, Bash or R
  • You have built trader-facing tools for analytics, pricing, risk or reporting

Who this fits

This suits someone who combines quantitative development with direct engagement with traders and quants. The role is based in London and requires three office days each week.

From the employer

Front Office Quant Analyst

Location: London (Hybrid - 3 days per week in the office)
Company: Talan UK

Talan is supporting a leading investment banking client in the search for a Front Office Quant Analyst to work directly with Rates and Credit trading desks. This is a hands-on role combining quantitative analysis, development, and trader engagement, focusing on the delivery of pricing, risk, analytics, and workflow automation solutions used in a front office environment.

You will partner with traders, quants, and technology teams to develop analytical tools, enhance trading processes, investigate market and risk data, and support business-critical decision making. The role offers significant exposure to front office stakeholders and complex financial products across Rates and Credit markets.

Key Responsibilities

  • Develop and enhance quantitative tools, trading analytics, and reporting solutions.
  • Support pricing, risk, P&L, trade analysis across Rates and Credit products.
  • Work closely with traders and quants to gather requirements and deliver front office solutions.
  • Build and maintain automation tools to improve trading desk efficiency.
  • Analyse market, risk, and trade data to provide insights and support decision making.
  • Investigate and resolve production issues impacting front office users.

Required Experience

  • Strong experience within a Front Office Quant, Quant Development, or Trading Analytics role.
  • Good understanding of Rates and/or Credit products and their associated risk measures.
  • Strong programming skills in Python and SQL.
  • Experience with one or more of the following: C++, VBA, Bash or R.
  • Experience building trader-facing analytics, pricing, risk, or reporting tools.
  • Strong analytical and problem-solving skills with the ability to communicate effectively with front office stakeholders.

Desirable

  • Knowledge of fixed income pricing and risk methodologies.
  • Experience with market data platforms such as Bloomberg or Refinitiv.
  • Exposure to electronic trading, quantitative modelling, or systematic trading environments.

This is an excellent opportunity to join Talan and work on front office quantitative initiatives within a high-performing trading environment, gaining direct exposure to traders, quants, and business-critical market activities.

#TalanUK

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.