Quantitative Analyst

TL;DR

Quantitative Analyst (Finance/Python): Developing and maintaining financial models for asset and liability management and portfolio optimization with an accent on Python-based analytical tools. Focus on high-performance fixed income modeling, ensuring model accuracy, and streamlining quantitative processes across the Institutional Retirement business.

Location: Must be based in or able to commute to London (Hybrid)

Company

hirify.global is a leading global financial services group and institutional asset manager with a long history of securing financial futures since 1836.

What you will do

• Develop and enhance financial models using Python for fixed income, pension liabilities, and risk analytics.
• Improve existing modeling tools and processes to increase calculation efficiency and code quality.
• Support various investment teams with day-to-day tool usage and troubleshooting.
• Take ownership of platform issues and escalate to relevant vendor or internal teams.
• Collaborate with team members to solve complex technical problems and ensure model accuracy.
• Ensure system changes comply with IT change management and best practices.

Requirements

• Professional Python development experience including NumPy, SciPy, and Pandas.
• Strong programming skills with knowledge of algorithms and data structures.
• Understanding of financial engineering concepts such as no-arbitrage principles and derivative pricing.
• Familiarity with portfolio analytics and risk assessment.
• Experience interfacing Python with Excel or working with SQL and cloud-based platforms.
• Ability to work in a hybrid environment based in London.

Nice to have

• Experience with Snowflake.
• Experience with portfolio risk platforms like BlackRock Aladdin, State Street Alpha, or SimCorp.
• Knowledge of VBA.

Culture & Benefits

• Competitive salary with annual performance-related bonus and share schemes.
• Generous pension contributions and comprehensive life assurance.
• Healthcare plan for permanent employees.
• Minimum 25 days holiday plus public holidays, with options to buy/sell leave.
• Electric car salary sacrifice scheme and various retail discounts.
• Focus on a welcoming, inclusive culture with support for career development.