{"id":953798,"url":"https://alion.io/job/bmlltech-senior-quantitative-analyst","title":"Senior Quantitative Analyst","company":{"id":672545,"name":"bmlltech","domain":"bmlltech.com","url":"https://alion.io/company/bmlltech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1708},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"NumPy","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-28T22:57:48Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"About BMLL:\nBMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour.\nBMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company's next phase of growth.\nWe offer an inclusive and collaborative culture, a hybrid working environment that will include regular days in a HK serviced office in Central, team lunches, and a variety of out-of-hours social activities.\nFor more information, visit our website or follow us on X (@bmlltech) and LinkedIn @BMLL.\nAbout the role\nWe 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.\nYou 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.\nWe 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.\nWhat Makes This Job Special:\nDirect Impact: Your work will have a tangible effect on the business, with a blend of data science, sales, and marketing.\nAdvanced Resources: Access to a petabyte-scale data lake and an award-winning data science environment to drive your analysis.\nHigh-Impact Projects: Contribute to high-impact initiatives, working with a diverse range of clients.\nInnovation: Develop and implement cutting-edge solutions in a fast-paced, ever-evolving industry.\nContinuous Growth: Ongoing learning opportunities with exposure to the latest advancements in financial technology.\nAttractive Compensation: Competitive salary, bonus structure, and comprehensive benefits package.\nAs a Quantitative analyst, you will:\nDrive Impact: Utilize the BMLL product suite to support marketing and sales, directly contributing to business growth and helping sell the BMLL product suite.\nCollaborate & 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.\nLeverage Advanced Resources: Assist in technical prototyping for external partners and clients, utilizing a petabyte-scale data lake and cutting-edge data science tools.\nContribute 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.\nRequirements\nEssential\nA minimum of 5 years of quantitative analysis experience, with a minimum of a MSc in a quantitative discipline (such as STEM subject or Economics)\nProficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation, statistical modeling.\nA minimum of 3 years experience working with order book market data. With strong familiarity in other financial instruments (e.g. derivatives, equities, fixed income)\nExcellent spoken and written English & Mandarin communication skills, cantonese is also preferable but not required. \nWillingness to work in a fast paced environment, and work to tight deadlines.\nExperience working with large datasets.\nExcellent analytical and problem-solving skills, with the ability to think critically and strategically under pressure.\nExcellent teamwork and ability to work in a multidisciplinary team\nStrong presentation, and both verbal and written communication skills\nDesirable\nExperience with other OOP languages\nExperience with Snowflake/SQL or other database management systems\nExperience with Cloud Platforms (AWS, GCP, Azure)\nExperience on the Buy Side\nBenefits\nCompetitive salary & Commission Structure \n33 days holiday including any public holidays taken. \nPension Scheme\nPrivate Medical Insurance\nLife Insurance\nTemporary Work abroad option (According to BMLL’s internal policy)\nHybrid working option, in the office 3 days per week\nA yearly Well-being Physical Activity budget\nContinuous learning through funded training & development plans\nWe are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity and are committed to removing barriers throughout our hiring process. If you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know at .\nEmployment Note: This position is open to candidates based in Hong Kong. The successful candidate will be employed locally via our Employer of Records (EOR), Deel, ensuring full compliance with Hong Kong labor laws, tax regulations, and statutory MPF benefits.","description_format":"text","description_chars":5669,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Health insurance","Hybrid work","Life insurance"],"hiring_locations":[{"name":"Hong Kong","iso":"HK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-16T03:21:36Z"}],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.723,"p_room":0.9,"age_days":13,"expected_fill_days":23,"reasons":["conf:6","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bmlltech-senior-quantitative-analyst","json_url":"https://alion.io/job/bmlltech-senior-quantitative-analyst.json","meta":{"generated_at":"2026-09-29T03:00:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2672,"day_limit":5000,"remaining_today":2328,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}