Python Developer

Experience in Python (Only Backend), Data structures, Oops, Algorithms, Django, NumPy etc.

• Good understanding of writing Unit Tests using PYTest.

• Good understanding of parsing XML’s and handling files using Python.

• Good understanding with Databases/SQL, procedures and query tuning.

• Service Design Concepts, OO and Functional Development concepts.

• Agile Development Methodologies.

• Strong oral and written communication skills.

• Excellent interpersonal skills and professional approach Skills desired.

Role Responsibilities:

• Development and Maintenance of REST APIs: Lead the creation and management of our RESTful APIs, ensuring top-notch performance and alignment with evolving requirements.
• Proficiency in Coding: We're in search of expertise in Python or equivalent programming languages. Your coding skills will play a pivotal role in delivering high-quality (efficient, reusable, testable, and scalable) solutions.
• Unit and Integration Testing: Apply your expertise to craft unit and integration tests, upholding code quality and reliability.
• Version Control Systems: Proficiency in Distributed Version Control Systems is vital for seamless collaboration during development.
• Elasticsearch Expertise: Having valuable experience with Elasticsearch is a plus, given its critical role in data retrieval and search functionalities.
• NOSQL Database Familiarity: Knowledge of NOSQL databases like Cassandra and MongoDB will be advantageous.
• Message Broker Knowledge: Understanding message brokers, especially RabbitMQ, is beneficial for effective communication within our systems.

Desired Qualifications:

• Experience: 1-2 years of hands-on experience as a Python developer.
• AWS: Proficiency in AWS cloud management and architecting enterprise data solutions.
• Pragmatic Problem-Solving: Recognize when a solution should be streamlined and when creating the right abstraction will lead to long-term efficiency gains.
• Passion for Quality: Demonstrate dedication to producing work of the highest quality and following best practices.
• Agile/Lean Process: Familiarity with Agile/Lean methodologies is a plus, reflecting your adaptability and collaborative spirit.
• Startup Mindset: Embrace the challenges and opportunities of a startup environment, contributing your skills and insights to our growth.
• Debugging and Optimization: Showcase excellent debugging and optimization capabilities to enhance system performance.
• Tech Awareness: Stay updated on emerging technologies and possess a solid understanding of the full product development life cycle.
• UX and Information Architecture: Exhibit excellent knowledge of mobile user experience, information architecture, and industry trends.

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.