Data Science Analyst

We are seeking a skilled Senior Software Development Engineer (SDE-3) proficient in MERN stack technologies to join our dynamic team.

Responsibilities:

• Design, develop, and maintain scalable web applications and services using MERN stack technologies (MongoDB, Express.js, React.js, Node.js) and Nest.js.
• Implement frontend components and user interfaces using React.js and Next.js.
• Develop and integrate server-side logic using Node.js, Express.js, and Nest.js.
• Utilize MongoDB and SQL databases to manage and optimize data storage solutions.
• Implement real-time communication and event-driven architectures using technologies like Socket.io.
• Deploy applications on AWS cloud infrastructure, leveraging services such as EC2, S3, Lambda, DynamoDB, and others as required.
• Ensure code quality, performance, and adherence to best practices through code reviews and automated tests.
• Collaborate effectively with cross-functional teams including product managers, designers, and other developers.
• Stay updated with emerging technologies and industry trends to continuously improve development practices and tools.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (preferred).
• 5+ years of experience in software development with expertise in MERN stack technologies.
• Proficiency in Node.js, Next.js, React.js, Express.js, Nest.js, JavaScript, and TypeScript.
• Strong understanding of MongoDB and SQL databases, including database design and optimization.
• Experience building and deploying applications on AWS cloud infrastructure (EC2, S3, Lambda, DynamoDB).
• Familiarity with real-time web applications and event-driven architectures using technologies like Socket.io.
• Solid understanding of software development principles, design patterns, and best practices.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Effective communication and collaboration skills, with the ability to work both independently and as part of a team in a fast-paced environment.

.Preparing legal briefs and Pleadings.

2.Drafting Pleadings, Litigation Management.

3.scrutiny of all types of immovable property,

4. Listing of documents & co-ordination with associates for 5. procurement of documents,

6. Advice & creating title opinions on real-estate properties

We are looking for a kickass JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will have to ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality products are important.

Requirements

• Strong proficiency in HTML, CSS and JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical implementations
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (Git)

Responsibilities:

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Experience in Java Programming with Selenium and Mobile Application (Appium).
• Experience in designing developing data quality automation and executing test plans.
• Experience in CI/CD and developing Test Automation Tools for Data Quality Assessment.

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company