Associate - Quant in London

Associate - Quant in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build and manage quantitative models for portfolio management and risk analysis.
  • Company: Join Apollo, a leading global alternative asset manager with a collaborative culture.
  • Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on collaboration and career advancement.
  • Why this job: Make an impact in finance while working with innovative technologies and talented colleagues.
  • Qualifications: Master's or Bachelor's in relevant field with strong programming skills in Python/C++.

The predicted salary is between 60000 - 80000 € per year.

Position Overview

Extensive familiarity with analytics and risk management as it pertains to derivative asset classes, related trends, issues, and developments will be obtained while working in this position. Your responsibilities will include:

  • Build, refine and manage quantitative models of Portfolio Management, Asset Allocation, Valuation, Risk Sensitivities & Reporting.
  • Utilize proprietary risk systems for monitoring portfolio exposures, stress testing, risk and performance attribution.
  • Analyze Fixed Income portfolios utilizing analytical tools and techniques to facilitate discussions on portfolio construction.
  • Clearly and concisely articulate complex ideas to target audiences including portfolio managers, traders and executive management.
  • Contribute to automating and standardizing analytical processes by writing scripts and enhancing tools to streamline repetitive tasks, such as automating data inputs into models and creating standardized reporting analyses for presentations.
  • Work with Quantitative Analyst, Traders, and Portfolio Managers to support rapid development and testing of research ideas on developing new methods and models and its deployment.
  • Design, develop, and implement tailored solutions that enhance functionality and address business challenges.
  • Stay updated on industry trends, regulatory changes, and advancements in technology to provide informed insights and recommendations.

Qualifications & Experience

  • Masters / Bachelor’s degree in computer science, financial engineering or related field and 5+ years of experience in programming in Python / C++ required.
  • 2+ years of experience as a Quant in a Front Office Pricing team in large Investment Banks or Asset Managers with focus on traded credit products and Asset Backed Securities. A few years of this experience (but not all) could be in a model validation team validating front office models.
  • Strong understanding of quantitative credit methodologies and traded credit analytics.
  • Practical and hands-on experience in financial markets.
  • Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, simulation techniques, derivatives pricing, and risk analytics.
  • Hands-on experience with pricing libraries, market/reference data, and PnL methodologies (MTM, Reval, Predict).
  • Experience with relevant programming languages (e.g., C++, Java) and a solid grasp of software development principles.
  • The ideal candidate will have strong quantitative and programming skills. The candidate must be able to demonstrate proficiency in logic and programming.
  • Should be able to develop basic apps using Python, Dash, SQL or equivalent architecture (MVVM).
  • Familiarity with front-to-back-office trading processes, risk management frameworks, and capital markets operations is desirable.
  • Ability to analyze complex situations, identify issues, and develop effective solutions in a fast-paced environment.
  • Verbal and written communication skills, with the ability to collaborate effectively with end users and team members.
  • Willingness to stay updated on industry trends, regulatory changes, and emerging technologies to enhance production ready code delivery.

Associate - Quant in London employer: Apollo Management Holdings

Apollo is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to outperform expectations and challenge convention. With a strong focus on employee growth, Apollo offers extensive benefits and opportunities for professional development in the dynamic field of alternative asset management, making it an ideal place for those seeking meaningful and rewarding careers in finance.

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Contact Detail:

Apollo Management Holdings Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate - Quant in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with alumni. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to quantitative analysis. Use mock interviews to get comfortable articulating your thoughts clearly and concisely, just like you would need to do with portfolio managers and traders.

Tip Number 3

Showcase your skills! Create a portfolio of projects that highlight your programming abilities in Python or C++. This will not only demonstrate your technical prowess but also your passion for the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Apollo.

We think you need these skills to ace Associate - Quant in London

Quantitative Modelling
Risk Management
Analytical Tools
Python Programming
C++ Programming
Financial Engineering
Stochastic Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Associate - Quant role. Highlight your experience with quantitative models, programming skills in Python or C++, and any relevant financial market knowledge. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our team at Apollo. Keep it concise but impactful – we love a good story!

Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills and experience with risk management. Mention specific projects or tools you've used that relate to portfolio management and asset allocation. We’re keen on seeing your problem-solving abilities!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Apollo Management Holdings

Know Your Quant Skills

Make sure you brush up on your quantitative skills, especially in areas like financial engineering and risk analytics. Be ready to discuss your experience with programming languages like Python and C++, as well as any relevant projects you've worked on that showcase your analytical abilities.

Understand the Business

Familiarise yourself with Apollo's investment strategies and core values. Being able to articulate how your skills align with their focus on innovative capital solutions and addressing global issues will show that you're not just a fit for the role, but also for the company culture.

Prepare for Technical Questions

Expect technical questions related to derivative asset classes and quantitative modelling. Practice explaining complex concepts clearly and concisely, as you'll need to communicate effectively with portfolio managers and traders during the interview.

Stay Updated on Industry Trends

Show your enthusiasm for the field by discussing recent trends or advancements in technology that could impact asset management. This demonstrates your commitment to continuous learning and your ability to provide informed insights, which is crucial for the role.