TFI ALM Trader

Barclays UK; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is looking for a talented quantitative analyst to join their ALM Execution team. This role involves creating and developing systematic trading strategies using Python, managing risk, and collaborating with various teams to enhance trading strategies. The ideal candidate will have a strong quantitative background, a degree in a relevant field, and a passion for macroeconomics. This position offers a unique opportunity to contribute to the firm's P&L targets and engage in dynamic market trading strategies, making it perfect for someone eager to apply theoretical knowledge in a practical setting.

Qualifications

• Degree in a quantitative field such as Mathematics or Finance.
• Strong quantitative skills and interest in macroeconomics.

Responsibilities

• Manage delivered risk from the business including pricing swaps.
• Develop systematic quantitative trading strategies in Python.

Skills

Quantitative Analysis

Python Programming

Risk Management

Excel/VBA

R Programming

Education

Degree in Mathematics

Degree in Economics

Degree in Engineering

Tools

Excel

VBA

Python

R

Job description

As part of ALM Execution (ALME’s) active hedging mandate, ALME employs various interest rate swap strategies including outright, relative value, and cross-market trades to generate positive MTM. To scale-up its trading strategies, the team is seeking a candidate skilled in creating and developing systematic quantitative trading strategies in Python, building on previous successes.

Key Accountabilities

The successful candidate will manage the delivered risk from the business, including:

• Pricing swaps
• Generating risk (DV01) profiles
• Formulating hedges and execution strategies
• Executing hedges in the market

You will develop relationships with external counterparties for best pricing and market insights, and collaborate with ALM/BSM teams in Treasury to understand balance sheet and product dynamics.

Although not initially required, the candidate will eventually suggest trade ideas to contribute to ALME’s P&L targets.

You will be responsible for creating and developing systematic quantitative trading strategies in Python. This role offers scope for developing various trading strategies, ideal for someone interested in building models and applying theoretical knowledge practically.

Additional responsibilities include understanding ALME’s P&L (with Product Control), managing residual risk in Hedge Accounting, and providing market updates to Treasury and business teams.

Essential Skills/Qualifications

• Degree in a quantitative field (e.g., Mathematics, Econometrics, Quantitative Finance, Economics, Physics, Engineering)
• Strong quantitative skills
• Interest in macroeconomics and politics
• Proficiency in Excel/VBA and programming languages like Python and R

You may be assessed on skills such as risk management, change management, business acumen, strategic thinking, and digital/technological proficiency.