Chatbot LUIS Developer (Deputy Manager - TS)

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

Analytical tool:  Redpoint 

• Research and drawing insights  
• Excellent written, oral and presentation skill  
• Critical thinking and problem-solving skill
• Applications: SQL, Redpoint  

Description:  

• Create unique fleet rich database using multi step matching rules  
• Critical thinking in identifying record survivor ship rules for identifying master record  
• Data roll-up at different levels, by providing linkage across databases  
• Learn issues clients are currently facing with their dataset  
• Foresee the problems in solving the issue during project planning based on historical work  
• Convert requirements into process flow. Customize & automate the process for upkeep  
• Helps clients identify their best Industry based on multiple KPIs’  
• Helps understand complete market, penetration level and available market  
• Identify core segments which can be penetrated with less effort.  
• Prioritize existing data to increase the penetration level
• Helps understand complete market, penetration level and available market  
• Identify core segments which can be penetrated with less effort.
• Prioritize existing data to increase the penetration level

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused