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10 дней назад

Data Scientist (Fintech)

Формат работы

onsite

Тип работы

fulltime

Грейд

senior

Английский

Страна

China

Вакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:

TL;DR

Data Scientist (Fintech): Analyzing high-volume payment and merchant transaction data and building scalable dashboards in Google Looker and Power BI with an accent on KPI definition, data modeling, and commercial insight generation. Focus on optimizing complex SQL and Python workflows, validating data accuracy, and solving strategic questions through forecasting and scenario analysis.

Location: On-site in Hong Kong

Company

Kody is a fast-growing fintech providing online payments and financial services to brick-and-mortar businesses across the UK, Europe, and APAC.

What you will do

Extract, clean, and analyze high-volume payment transaction and merchant data to identify bottlenecks, drop-offs, and growth opportunities.
Design, build, and maintain production-quality dashboards and semantic models in Google Looker with LookML and Power BI.
Define, standardize, and monitor business KPIs with Commercial, Operations, and Product teams across regional markets.
Write optimized SQL queries and Python scripts to aggregate complex datasets and validate reporting accuracy.
Provide data-backed answers to ad-hoc business questions, including scenario analysis and performance forecasting for senior management.

Requirements

Bachelor’s or Master’s degree from a top-tier university in Statistics, Mathematics, Computer Science, Data Science, Quantitative Finance, or a related quantitative discipline.
Advanced SQL skills, including complex joins, CTEs, window functions, query optimization, and querying massive multi-table databases.
Practical experience with Python using pandas and NumPy, or R, for exploratory analysis, data wrangling, and statistical evaluation.
Hands-on experience with Google Looker and/or Power BI or Tableau; LookML knowledge is a strong plus. Ability to translate business requirements into self-serve visualizations.
Strong analytical and business judgment, attention to detail, ability to identify data discrepancies, understand payment and fintech workflows, and communicate technical findings to non-technical stakeholders.

Nice to have

Analytics experience in fintech, payments, e-commerce, or high-growth technology companies.
Experience with Snowflake, BigQuery, dbt, or other cloud data and transformation platforms.

Culture & Benefits

Market-leading compensation package designed to reward top talent.
High-trust, collaborative team with direct feedback and efficient decision-making.
Open, united culture with minimal unnecessary bureaucracy.
High-growth fintech environment with substantial career development potential.

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