Data Scientist (Full-Time/Part-Time/Intern) | Fintonium

This job has expired.

Large fintonium logo with border

Expired.

Data Scientist (Full-Time/Part-Time/Intern) Wanted

Full time

Hong Kong

User Experience / Information Architecture

starting date : 2019-06-20

Fintonium might be able to provide a visa.

Description

Fintonium develops next-generation technologies that change how professionals invest in financial markets. Our products handle information at massive scale and speed, and extend well beyond your typical financial trading system. We are looking for engineers/scientists from diverse backgrounds who bring fresh ideas from fields such as game development, large-scale system design or highly regulated industries to work on our financial services platform for trading, visual analytics, and machine learning.


What you'll be doing
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns and consistently improving and developing on our machine learning model as well as enhancing our analytics dashboard. We will rely on you to build data products to extract valuable business insights as well.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

As one of our pioneer employees, you’ll also get to help us shape the company culture and values.


Who are we looking for
Fintonium is an engineering startup. If you enjoy solving problems the right way – whether your specialty is in performance optimisation, security, user interface development or something else – we have an environment that values conscientious effort towards appropriate solutions. We’re looking for people that have a proven ability and initiative to learn and research new concepts, ideas and technologies quickly, fulfilling a passion for innovating, inventing, and building

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Present information using data visualization techniques
  • Collaborate with engineering and product development teams


We think you will be good at this if

  • You have a good basic understanding of software development with general purpose programming languages experience
  • You have some experience with NoSQL databases (e.g. MongoDB) and in memory data stores (e.g. Redis) or have good interest to learn more about it
  • You are up to date with current trends and industry knowledge on AI and machine learning


We think you’ll be great at this if

  • You make active contributions to improving the platform experience
  • You have hands on experience with Tensor Flow and developing AI Models or have strong fundamental knowledge on the field
  • You have a quality focus in your work and think use-case based test driven development is great


At Fintonium, our culture is to look beyond the short term, and align efforts towards doing things the right way. We believe that investing the time and effort to build strong foundations paves the way for sustainable long-term growth. For our people, it means an open environment that supports creativity, ownership, and the pursuit of excellence. It is a commitment from us to provide the right resources, clear expectations, and psychological safety.

You will be working with   Founder and Management

Salary

Equity part is negotiable.

Salary range / month :  Negotiable

WHubber factors

Startups have different perks to offer to talent. Here is their allocation of 100 points.

Flexible Role and Responsibility

Impact on Society

Compensation

Flexible hours

Flexible location

Created on: 2019/06/20

This job has expired.

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