Front Office Quant Analyst in London

Front Office Quant Analyst in London

London Full-Time 54000 - 66000 Β£ / year (est.) Home office (partial)
Talan

At a Glance

  • Tasks: Develop and enhance quantitative tools for trading analytics and reporting solutions.
  • Company: Join Talan UK, a leader in investment banking support.
  • Benefits: Hybrid work model, competitive salary, and exposure to high-performing teams.
  • Other info: Gain valuable insights into Rates and Credit markets while building your career.
  • Why this job: Make an impact in a dynamic trading environment with direct trader engagement.
  • Qualifications: Strong programming skills in Python and SQL; experience in trading analytics.

The predicted salary is between 54000 - 66000 Β£ per year.

Job Description

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.

  • Additional Information
  • #Talan UK

Front Office Quant Analyst in London employer: Talan

At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.

Talan

Contact Details:

Talan Recruitment Team

We think you need these skills to ace Front Office Quant Analyst in London

Quantitative Analysis
Development of Analytical Tools
Trader Engagement
Pricing and Risk Analytics
Workflow Automation
Market and Risk Data Investigation
Python Programming