[vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” row_negative_margin=”disable_negative_margin” padding_top=”20″ padding_bottom=”20″][vc_column][vc_column_text css=”.vc_custom_1506260242605{padding-right: 20px !important;padding-bottom: 20px !important;}”]
Quantitative Algorithm Developer
- Primary Location: work from home
- Education: Bachelor of mathematics and computer science or higher
- Job Function: Develop and maintain trading algorithm
- Schedule: Full-time
- Shift: flexible
- Employee Status: Service provider (invoiced service)
- Travel Required: partial
- Job ID: Q00191
About TEFS
TEFS mission is to achieve maximum return on its own capital. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees and service providers should work every day to be successful and strengthens our ability to achieve our strategic priorities.
Diversity is a key business imperative and a source of strength at TEFS. We contract traders from every walk of life, every background and every origin. TEFS has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.
Position Objective
Our quantitative algorithm developers team focused on cutting edge algorithm incorporating macro financial events input, social quantitative science and proven trading algorithm on US stocks based assets.
Key Responsibilities
- Creating trading plans to maximize revenue generation
- Adhering to risk and capital usage limits
- Conforming to compliance and regulatory rules
- Working with technology to identify and prioritize code development
Qualifications
- 5+ years of quantitative trading experience in a proprietary trading company
- Multi-year track record of success
- Strong understanding and experience using trading technology
- Strong analytical skills
- A Bachelor’s degree or higher in Statistics, Physics, Computer Science, Mathematics, or a related field
[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”center” background_image_as_pattern=”without_pattern” padding_top=”20″ padding_bottom=”50″][vc_column][button size=”large” target=”_blank” hover_type=”default” text_align=”center” text=”START WITH YOUR APPLICATION” hover_background_color=”#666666″][/vc_column][/vc_row]
