FINAPAC IS RECRUITING

FINAPAC CAPITAL values every employee and believes that by working together, we can accomplish great things and have a positive impact on the industry. 

Lead Data Scientist

We are looking for a driven algorithmic trader who will build his own trading desk from the ground up!

What You Will Do At Finapac Capital?
  • Providing ideas, strategy, approach, architecture, and solutions to solve real-world business problems with AI on a daily basis
  • Implement AI software as part of a multi-disciplinary team
  • Engage effectively with business clients; understand requirements data; and propose AI software solutions to produce AI software for them
  • Research, design, implement, validate, integrate AI core models into business software
  • Involved in reporting and documenting all steps in AI-related work for clients to build the company's knowledge base
  • Provide mentorship / training sessions to junior team members
Our Ideal Candidates Would Have
  • PhD degree in Computer Science, Applied Statistics, or any related disciplines
  • At least 4 years of AI in industry sector
  • Strong in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing
  • Strong in Probabilistic Models such as Bayesian, Markov, Gaussians
  • Strong in Hypothesis Testing with various tests
What else is waiting for you?
  • Competitive salary
  • Be a part of the future of financial technology by doing something meaningful.
  • Great career development opportunities in a growing company
  • Passionate and collaborative team
  • Family-like environment
  • Up-level your technical skills and capital market knowledge
  • Multi-cultural environment

Does Finapac Capital sound like the place you want to work? Apply for a job today.

What you do today will determine your tomorrow!

Desired Skills and Experience

TensorFlow, Machine Learning, Investment Strategies, Tolerance, Azure, Natural Language Processing, Artificial Intelligence, Career Development, Computer Vision, Keras, Big Data Analysis, Python, CNTK, Statistics, Capital, Data Science, Research Design

Quant Researcher

Finapac Capital is looking for quantitative researchers who are passionate about the Fintech industry. In this role, you will work closely with the quantitative researchers, traders and developers, coming up with hypotheses, collecting data, analyzing to develop the new algo strategies.

What You Will Do At Finapac Capital?
  • Conduct research, statistical analyses, back testing, and develop high frequency trading strategies.
  • Apply quantitative techniques and continuously improve trading strategies in every aspect such as trading execution, risk management, etc.
  • Develop core algorithms and sophisticated investment models leading directly to trading decisions.
  • Building tools for predictive signals.
Our Ideal Candidates Would Have
  • BS/MS/PHD degree in Mathematics, Statistics, Physics, Computer Science or other related field.
  • Proficiency in at least one programming language (C/C++, Java, Python);
  • Strong analytical skills and strong ability to apply logical and mathematical thinking to all kinds of problems
  • Knowledge in algorithmic trading and equities will be an advantage
  • Passionate about financial market
What else is waiting for you?
  • Competitive rewards package
  • Be a part of the future of financial technology by doing something meaningful.
  • Great career development opportunities in a growing company
  • Passionate and collaborative team
  • Family-like environment
  • Up-level your technical skills and capital market knowledge
  • Multi-cultural environment

Does Finapac Capital sound like the place you want to work? Apply for a job today.

What you do today will determine your tomorrow!

Desired Skills and Experience

Investment Strategies, Analytical Skills, Algorithmic Trading, Physics, Mathematics, Trading Strategies, Python, Bioinformatics, Statistics, Capital, Java, Laboratory, Equities

关于数融

数融资本持有新加坡基金管理牌照,主理业务以资产管理为首。主要的三大板块有:资产管理,家族办公室,可变资本公司(VCC)。

info@finapac.sg

+65 9172 4278

周一 至 五 09:00 - 18:00

周六, 日及公共假日休息

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