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Career 2017-07-18T11:38:07+00:00

Sense of integrity, both personal and intellectual.

A team player while also being self-motivated on specific tasks.

The desire to learn from mistakes and to rise higher.

A drive to improve and to achieve beyond your abilities.

CAREER OPPORTUNITIES

Research Analyst (Internship) 2017-07-20T05:46:22+00:00

We are looking for interns to provide market color and relevant news for traders, and to assist the research team.

Scholarship Opportunities 2017-07-20T05:46:19+00:00

Integer Alpha offers both undergraduate and mid-term scholarship

A. Eligibility Criteria

  • Singapore Citizens or Permanent Residents only.
  • Excellent academic results coupled with active involvement in co-curricular, leadership and community roles.
  • Demonstrated exemplary leadership and interpersonal skills.
  • Keen interest in the finance industry.

B. For Undergraduate Scholarships

  • Excellent academic results for GCE A-Level, Diploma from a Singapore Polytechnic, International Baccalaureate (IB) Diploma, NUS High School Diploma or equivalent.
  • Acceptance into any of the following institutions: National University of Singapore (NUS), Nanyang Technology University (NTU), Singapore Management University (SMU), Singapore Institute of Technology (SIT), or Singapore University of Technology and Design (SUTD).

C. For Mid-Term Scholarships

  • Undergraduates with NUS, NTU, SMU, SIT, or SUTD in their penultimate year (2nd last year of their program).
  • On track for at least a Second Upper Class Honours or Magna Cum Laude.

D. Fields of Study

  • Computer Science (Specialization in Machine Learning will be a plus)

E. Scholarship Benefits

  • Tuition fee coverage and living allowances.
  • Internship opportunities with the firm.
Quantitative Analyst – Deep/Machine Learning 2017-07-20T05:45:23+00:00

A. Responsibilities include, but are not limited to, the following:

  • Build and implement quantitative trading models for specific asset classes.
  • Use knowledge of Deep/Machine Learning to make forecasts and develop profitable predictive trading models.
  • Monitoring and streamlining trading processes.

B. Requirements:

  • Degree, or higher in computer science, mathematics, engineering, statistics, or similar.
  • Preferably experience in algorithmic trading.
  • Proficient in C++, C# or Python.
  • Background in deep/machine/reinforcement learning will be a huge plus.
  • Able to commit in a team-oriented environment.

C. Job Type:

  • Full-time

Ready to Talk?

Let’s have a chat to see how you can fit in.

Contact Us