Head of Futures Algo Trading Quants - Director level

Employer
Anson McCade
Location
Manhattan, USA
Salary
perfomance based bonus
Posted
May 08, 2022
Closes
Jun 07, 2022
Ref
14176566
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Head of Futures Algo Trading Quants - Director level

NYC based

The Algorithmic Trading Quant team is responsible for the research, design, implementation and maintenance of Execution Algorithms, Analytics and related Trading Products offered to their institutional clients and internal trading desks. The team collaborates with global teams and works with specific focus on North America and LATAM markets.

Summary:

This is a great opportunity to work in a fast-paced environment and as a member of a quant group that develops cutting-edge algorithmic trading strategies and analytics; this position offers the opportunity to combine strong quantitative, technical and soft skills to foster innovation in a collaborative team culture. It is an opportunity to be involved in challenging new initiatives, work at the cutting edge of developments in the Electronic Trading domain and be part of their growing Equities business. Importantly, this opportunity offers the chance to add value to their clients by providing prominent thought leadership, as well as helping comprehend and improve execution performance.

This role is focused on Futures - a unique opportunity to be the team specialist and leader in this expansive, multi-asset class suite of global listed derivative instruments.

Responsibilities:
  • Perform analysis of large data sets comprising of market data, orders, executions to implement TCA and derived analytics.
  • Improve existing Trading Algorithms by being able to perform both model research and implementation work with the objective of providing best in class execution performance.
  • Research and analyze ideas for enhancing existing and developing new algorithms (such as liquidity seeking), models (such as market impact model) and short term predictive signals (such as fair value).
  • Perform analysis of large data sets comprising of market data, orders, executions and derived analytics.
  • Implement algorithm enhancements and client customization requests with production quality code.
  • Design and implement unit test and regression test case for changes made in the strategy code.
  • Enhance the trading model development and simulation frameworks.
  • Provide thought leadership both internally and externally by publishing white papers and commentary.
  • Apply best practices towards developing modular, reusable, robust trading components and strategy code.
  • Support client algorithmic trading enquiries and assist with performance analysis & tuning.
  • Work in close partnership with Coverage desk, Technology teams and control functions such as Legal, Compliance & Audit in order to ensure appropriate governance and control infrastructure
  • Build a culture of responsible finance, good governance and supervision, expense discipline and ethics.


Requirements:
  • Expert on Futures instruments and Futures Market Microstructure.
  • Expert on Algorithmic Trading and Transaction Cost Analysis.
  • Experience with Transaction Cost Modeling.
  • Good understanding of US Equity Market Microstructure.
  • Minimum 7 years of experience in trading environment of which a minimum of 4 years should be in research and development of agency execution algorithms, market making strategies or high frequency trading strategies.
  • Experience applying statistical modelling and machine learning towards analysis of large data sets.
  • Experience with Predictive signal, Market Impact and Optimal Trading schedule models are desirable.
  • Programming skills in Java, and experience with low latency and/or high-performance systems is a plus. Strong candidates with experience in other object-oriented languages such as C++ will also be considered.
  • Strong analytical and quantitative skills and experience using with statistical programming languages such as Python or R.
  • Experience with Q/KDB or time series databases is desirable.
  • Good verbal communication skills.
  • Excellent writing ability, both technical and non-technical - ability to distill complex, technical concepts for dissemination to a less technical audience.
  • Ability to juggle multiple tasks and projects in a fast-paced work environment.

Qualifications:
  • Masters or PhD in Finance, Mathematics, Engineering, Computer Science or related field.
  • Applicable licenses: Will be required to either already have or apply upon arrival for Series 3, 7 and 63.

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