You will join the FX & DA Trading department which serves the banks electronic trading business acting as principal counterparty in OTC venues and CLOBs and particularly the SPOT liquidity team.
As a team we:
- contribute to the banks commercial goals by managing our in-house developed internalization system
- provision liquidity such that clients execution needs and the banks regulatory requirements are sustainably met
- drive the banks ongoing investments in its proprietary trading and risk systems in collaboration with software engineers and IT
- drive the quantitative research initiatives relevant to its business scope
- ensure excellent product quality and participate in its continuous improvement
You will play a primary role in implementing the teams quantitative research roadmap and will have the chance to participate in shaping it. The goal is sell-side systematic trading and pricing strategies valid for this context you may work in collaboration with quants of other teams and a consulting professor with academic experience in market microstructure.
Moreover the role includes ad hoc data exploration/visualization and reporting to address Traders needs.
Qualifications :
- PhD/MSc in a STEM discipline from top ranked university
- Strong analytical and modelling skills suitable to financial tick-data
- Familiar with Machine Learning methods applied to financial forecasting
- Strong coding skills especially with respect to Python packages relevant to large data-sets
- Previous experience with a sell-side electronic trading firm/bank is a strong plus
- Able to work under pressure and available to deliver on time
- Self-driven structured attention to detail team-oriented
- Excellent communication skills and able to develop relationships with interdisciplinary people
- Fluent in English
Additional Information :
Remote Work :
No
Employment Type :
Full-time
You will join the FX & DA Trading department which serves the banks electronic trading business acting as principal counterparty in OTC venues and CLOBs and particularly the SPOT liquidity team. As a team we:contribute to the banks commercial goals by managing our in-house developed internalization ...
You will join the FX & DA Trading department which serves the banks electronic trading business acting as principal counterparty in OTC venues and CLOBs and particularly the SPOT liquidity team.
As a team we:
- contribute to the banks commercial goals by managing our in-house developed internalization system
- provision liquidity such that clients execution needs and the banks regulatory requirements are sustainably met
- drive the banks ongoing investments in its proprietary trading and risk systems in collaboration with software engineers and IT
- drive the quantitative research initiatives relevant to its business scope
- ensure excellent product quality and participate in its continuous improvement
You will play a primary role in implementing the teams quantitative research roadmap and will have the chance to participate in shaping it. The goal is sell-side systematic trading and pricing strategies valid for this context you may work in collaboration with quants of other teams and a consulting professor with academic experience in market microstructure.
Moreover the role includes ad hoc data exploration/visualization and reporting to address Traders needs.
Qualifications :
- PhD/MSc in a STEM discipline from top ranked university
- Strong analytical and modelling skills suitable to financial tick-data
- Familiar with Machine Learning methods applied to financial forecasting
- Strong coding skills especially with respect to Python packages relevant to large data-sets
- Previous experience with a sell-side electronic trading firm/bank is a strong plus
- Able to work under pressure and available to deliver on time
- Self-driven structured attention to detail team-oriented
- Excellent communication skills and able to develop relationships with interdisciplinary people
- Fluent in English
Additional Information :
Remote Work :
No
Employment Type :
Full-time
View more
View less