ALGORITHMIC TRADING SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

• Strong critical thinking and problem solving skills. 
• Ability to reason and explain decision making under situations with incomplete information.
• Coding and or programming experience.
• An interest in financial instruments, processes, and participant landscape.
• A collaborative nature and a willingness to try put initial effort in and iterate.
• Strong interest in finance and coding
• Python or other programming language
• Fluent in English
• Strong hands on software development experience using Java or C# technology
• Computer science background with a good knowledge of fundamental OO analysis and design techniques
• Experience of building algo trading applications for another bank

Because hiring teams weigh Java and production algo-trading experience heavily, resume bullets that reflect these competencies show how to present that proof without overstating it.

• Knowledge of time series analysis, optimization, probability theory and statistics is essential
• Sound knowledge of at least one of the following programming languages – Python or R
• Ability to clearly and concisely formulate findings in a written form
• Good communication skills and able to explain technical details clearly
• A team player able to work with colleagues collaboratively and stakeholders across multiple jurisdictions globally
• Ability to work independently with strong work ethic in a challenging and emerging area for model validation
• Experience working in a CI/CD environment
• Good knowledge of electronic trading principles
• Excellent communication skills in English.
• Ability to juggle multiple tasks and projects in a fast paced work environment.

Compensation in this field varies by firm type and sub-specialization, and salary benchmarks and certification paths for this role map the common baseline across CFA, FRM, and CQF tracks.

• Good understanding of US Equity Algorithmic Trading and Market Microstructure.
• Experience in trading environment, should be in research and development of agency execution algorithms, smart order routing strategy, liquidity seeking strategies, market making strategies or high frequency trading strategies.
• Experience applying statistical modeling and machine learning towards analysis of large data sets.
• Experience with Predictive signal, Market Impact and Optimal Trading schedule models are desirable.
• Strong programming and software design skills in Java, especially software development experience. 
• Experience with low latency and/or high performance systems and experience in other object oriented languages such as C++ 
• 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.
• Good communication skills, both verbal and written.

Benchmark your KDB/Q and market microstructure skills against what postings require, so your resume reaches the people who decide.