Relationship Manager & Sr Relationship Manager

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.

Someone who has prior experience in Product Analytics/Marketing Analytics/Growth Analytics/Consumer analytics domain.

Has the ability to define success metrics for different initiatives or campaigns, drive ROI analysis & provide recommendations.

Strong analytics acumen and problem solving skills.

Good understanding of Clickstream/App events data, ability to build and understand user journeys across platforms.

Understanding of LTV modelling

Strong SQL skills and comfortable with python programming.

Basic knowledge of different regression models & clustering techniques.

Job Summary :

      As a Software Development Engineer, you will be responsible for end-to-end delivery of software components all the way to production. In this position you will partner with our globally distributed cross-functional teams, product managers and other internal stakeholders. This position requires understanding business & technical requirements, designing clean solutions, implementing them and managing these systems. A key aspect of the role is to understand the digital commerce businesses part of KBX and implement technology systems that favourably align with business initiatives and requirements. The position will be evaluated in terms of the quality of the technology development, ongoing management of the systems and impact on business metrics.

Responsibilities :

• Work closely with cross functional teams to and deliver quality technology solutions
• Operational rigor for a rapidly growing tech stack and live portals
• Regular communication with management on status and risks.
• Measure success metrics and influence evolution of the tech product
• Be resourceful and find creative solutions to complex technical challenges.

Basic Qualifications :

• Ability to understand business requirements and build technology solutions that factor in the business requirements completely
• Possess an extremely sound understanding of basic areas of Computer Science such as Algorithms, Data Structures, Object Oriented, Databases.
• Excellent coding skills 
• Great problem solving skills and propensity to learn and develop tech talent.
• Bachelor’s degree or higher in Computer Science and years of Software Development experience

Preferred Qualifications :

• Understanding on Web programming is must; full stack experience would be a plus.
• Understanding on AWS Cloud Stack (EC2, Lambda, Dynamo DB, Aurora) would be a plus
• Knowledge of serverless development
• Excellent verbal and written communication skills. 

Mandatory skills:

.Netcore3.x,microservice and AWS or Azure.

Exp : 5-12 years

Budget : Max 30 LPA.

Looking for short notice people.

• Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
• Read and keep up with the research in Speech recognition, Machine Learning, Deep

• Understand and implement research papers to the business problem and build the

• Contribute to applied research and open source community
• Mentor and guide team members

• Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
• Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. 
• Designing and implementing data engineering, ingestion, and transformation functions

• Experience with Azure Analysis Services
• Experience in Power BI
• Experience with third-party solutions like Attunity/Stream sets, Informatica
• Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
• Capacity Planning and Performance Tuning on Azure Stack and Spark.