Description
About the role We are seeking an experienced Quantitative Analyst to join our dynamic product team, reporting to the Head of Data Science for EMEA and APAC. In this role, you will leverage our product suite to drive marketing initiatives and perform in-depth analysis, while also working closely with our clients to gather feedback and help them apply our solutions to solve their unique challenges. You will collaborate with clients and key stakeholders to understand their business needs and translate them into actionable, data-driven solutions.
This includes maintaining clear, comprehensive documentation for your code and methodologies, ensuring transparency and reproducibility. You will also communicate your findings effectively to both technical and non-technical audiences. We are looking for someone who is highly detail-oriented, able to manage complex projects, and thrive under tight deadlines.
A self-starter with a passion for quantitative finance, you'll be driven to continuously improve the solutions for our clients. As a collaborative team player, you will thrive in a fast-paced, ever-evolving environment, helping shape the future of our product suite. What Makes This Job Special: Direct Impact: Your work will have a tangible effect on the business, with a blend of data science, sales, and marketing.
Advanced Resources: Access to a petabyte-scale data lake and an award-winning data science environment to drive your analysis. High-Impact Projects: Contribute to high-impact initiatives, working with a diverse range of clients. Innovation: Develop and implement cutting-edge solutions in a fast-paced, ever-evolving industry.
Continuous Growth: Ongoing learning opportunities with exposure to the latest advancements in financial technology. Attractive
Compensation
Competitive salary, bonus structure, and comprehensive benefits package. As a Quantitative analyst, you will: Drive Impact: Utilize the BMLL product suite to support marketing and sales, directly contributing to business growth and helping sell the BMLL product suite. Collaborate & Innovate: Work closely with the go-to-market team to promote the product, provide customer support, and gather feedback that shapes the evolution of the product.
Leverage Advanced Resources: Assist in technical prototyping for external partners and clients, utilizing a petabyte-scale data lake and cutting-edge data science tools. Contribute to Product Development: Support the product team in the development and management of the product roadmap, generating ideas, and actively participating in the product development cycle.
Requirements
Essential A minimum of 5 years of quantitative analysis experience, with a minimum of a MSc in a quantitative discipline (such as STEM subject or Economics) Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation, statistical modeling. A minimum of 3 years experience working with order book market data. g.
derivatives, equities, fixed income) Excellent spoken and written English & Mandarin communication skills, cantonese is also preferable but not required. Willingness to work in a fast paced environment, and work to tight deadlines. Experience working with large datasets.
Excellent analytical and problem-solving skills, with the ability to think critically and strategically under pressure. Excellent teamwork and ability to work in a multidisciplinary team Strong presentation, and both verbal and written communication skills Desirable Experience with other OOP languages Experience with Snowflake/SQL or other database management systems Experience with Cloud Platforms (AWS, GCP, Azure) Experience on the Buy Side
Benefits
Competitive salary & Commission Structure 33 days holiday including any public holidays taken. Pension Scheme Private Medical Insurance Life Insurance Temporary Work abroad option (According to BMLL’s internal policy) Hybrid working option, in the office 3 days per week A yearly Well-being Physical Activity budget Continuous learning through funded training & development plans
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