Job Description

Quantitative Investment Strategist

Develop and improve quantitative investment strategies in equity markets within the Strategic Alpha Research team (SAR). Work across the full research lifecycle – from idea generation and data sourcing, through signal construction and testing, to portfolio construction and trade execution – supporting both new and existing strategies.

Responsibilities:

• Identifying new investment ideas or innovative data sources;
• Sourcing, gathering and refining complex data for modeling;
• Coding and performing statistical/ML analysis to build, test and refine predictive models;
• Interpreting, presenting, and implementing the results;
• Conducting research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.
• Contributing to the firm's broader research agenda by collaborating with adjacent research teams, such as fixed income and macro, to share techniques, data and insights.

Essential competencies:

• Advanced degree in Computer Science, Statistics, Mathematics, Finance/Economics or related quantitative field
• Passion for investment research; Strong intuition and the ability to think-out-of-the-box with a track record of original research and demonstrated problem solving ability.
• Excellent quantitative skills; Grounded in econometrics or statistics with extensive experience in utilizing those skills in empirical research.
• Strong programming skills (Python preferred); comfortable with analyzing large and complex data with statistical tools
• Confident communicator; able to communicate complex ideas clearly. Good interpersonal skills to work together with the team.
• Self-organized; able to manage multiple projects and competing priorities.
• 3+ years of experience in research; prior experience in the investment field is a plus but not required.

Advantageous competencies:

• Hands-on experience across the full quant alpha lifecycle: data analysis, signal construction, monetization and live trading.
• Practical experience applying complex data modeling, ML, or LLMs/AI techniques to real investment problems

The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time.

US Pay Range

$120,000 - $130,000 USD

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. Learn more at 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.

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