Quant Researcher - Systematic in London

Quant Researcher - Systematic in London

London Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Jobs via eFinancialCareers

At a Glance

  • Tasks: Research and develop investment strategies, manage team strategies, and implement portfolio construction concepts.
  • Company: Man Group is a global alternative investment management firm headquartered in London, managing $227.6 billion.
  • Benefits: Enjoy competitive holiday entitlements, pension coverage, and two annual 'Mankind' days for community volunteering.
  • Other info: The role involves collaboration with Trading, Operations, and Technology teams.
  • Why this job: Join a team responsible for the $14bn 'TargetRisk' fund and leverage 40 years of AHL experience.
  • Qualifications: Requires 2+ years in quantitative research and a strong academic background in Mathematics or related fields.

The predicted salary is between 50000 - 70000 £ per year.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.

Role Overview

The Total Returns team is responsible for the $14bn 'TargetRisk' fund and related strategies. The strategies leverage 40 years of AHL experience in systematic futures trading and risk management to provide best-in-class total return portfolios. We are seeking a quantitative researcher to work on our existing products as well as assist in the development of future strategies.

Specific Responsibilities

  • Research, develop, and implement investment and portfolio construction concepts to improve the outcomes of our portfolios.
  • Contribute to the design and development of new total return strategies.
  • Assist in managing the team's strategies in collaboration with Trading, Operations, and Technology.
  • Be an expert in our systems, understanding the process for translating investment concepts to trades.
  • Follow markets and their impact on the trading models (performance reviews): propose appropriate model diagnostics: feedback observations into research.
  • Follow industry/academic literature and suggest how the strategies can profit from these ideas.

Technical competencies

  • 2+ years of experience in a quantitative research role (essential).
  • Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics.
  • Knowledge/understanding of the structure and drivers of returns in financial markets. A demonstrable interest in algorithmic trading, financial derivatives and markets in general.
  • Ability to create systematic investment strategies, executing a full research pipeline from idea generation, data acquisition, hypothesis testing, signal construction, robustness checking, and portfolio construction using Python.
  • Awareness of what statistical and mathematical tools and techniques are available and able to independently decide what is appropriate to use in which circumstances.
  • Exceptional attention to detail, logical reasoning, and self-motivation required.
  • Ability to write clear, concise, and informative technical reports and proposals.

Inclusion, Work-Life Balance And Benefits At Man Group

You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry.

You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact.

Quant Researcher - Systematic in London employer: Jobs via eFinancialCareers

At Man Group, you'll thrive in an inclusive environment that values equality and offers flexible working arrangements. Located in London, the firm provides comprehensive benefits including private medical coverage and opportunities for professional development. Join a team dedicated to creating tailored investment solutions for sophisticated clients globally.

Jobs via eFinancialCareers

Contact Details:

Jobs via eFinancialCareers Recruitment Team

StudySmarter Expert Advice🤫

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

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jobs via eFinancialCareers!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant Researcher - Systematic at Jobs via eFinancialCareers.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jobs via eFinancialCareers.

Apply Directly through Our Website

When you find a suitable opening like Quant Researcher - Systematic at Jobs via eFinancialCareers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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

Quantitative Research
Mathematics
Statistical Analysis
Computing Skills
Python Programming
Algorithmic Trading
Financial Derivatives Knowledge

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Jobs via eFinancialCareers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobs via eFinancialCareers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Jobs via eFinancialCareers

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jobs via eFinancialCareers!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.