Company information:
Pecutus is determined to remove frictions in travel finance. We are beginning with Ready, a leftover currency recycling service to turn what is once worthless foreign banknotes into valuable assets for travellers. This is a lucrative US$150 billion market in Hong Kong alone. We are a young startup in the incubation program of Hong Kong Science Park, founded by a team of Hong Kongers with experience in finance, data science, psychology, manufacturing, social innovation and branding. Most importantly, we are all passionate millennial travellers. We are looking for multi-talented travellers to join force with us.
Team at Pecutus:
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Pecutus was founded by three multidisciplinary travellers. Ex-investment banker turned data scientist from UCL and HKUST, neuropsychologist experienced in manufacturing from Oxford, marketing and branding guru from the United Nations.
Here every team member makes a direct impact to the success of the company. Each member has a focus area but is exposed to all things Pecutus including, engineering, research, finance, business and marketing. We have a full team meeting on Mondays to ensure everyone is on the same page.
We offer:
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● Uncapped holiday - take a break when you need it.
● Share options for all employees.
● Company performance related bonuses.
● MPF.
● A secluded, tranquil office to work in with rush hour shuttle access to different parts of Hong Kong.
● Gym and swimming pool access.
Job Requirement:
What you'll be doing:
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● Exploratory analysis of large datasets, drawing insights and value from complex Big Data.
● Provide prototypes of data science algorithms and assist with their implementation.
● Build streaming and data analytics pipelines.
● Develop data science strategies to effectively and efficiently expand our data pipeline.
Value you'll be adding:
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● You’ll be driving the data science effort at Pecutus.
● You'll be helping us to understand customer behaviour and patterns further.
● You’ll be helping us to understand the Forex financial market further.
● You’ll learn and share new knowledge with the rest of the company as you progress.
About you:
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● You'll have a relevant educational background, masters/ PhD, and/or equivalent experience in a quantitative field (statistics, maths, physics, engineering, etc.).
● You're comfortable with database querying.
● Confident with coding, you'll have good proficiency with at least one modern programming language and experience in data analysis/machine learning libraries.
● You've got familiarity with Linux/Unix shell and a version control system (preferably Git).
Bonus points:
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● Passionate about travel.
● Interest or experience in marketing analysis, customer classification/ clustering.
● Knowledge of statistics, data science, machine learning, software engineering.
● Knowledge of visualisation tools.
Working hours:
40 hours per week
Salary:
19 - 32k