Are you a driven Python Development intern with a strong interest in R Programming, Data Analytics, Statistical Modeling, Cloud Computing, REST APIs, and Machine Learning? We are looking for an innovative and enthusiastic individual to join our team and help develop cutting-edge solutions for a Quant fund.
Selected intern's day-to-day responsibilities include:
1. Partnering with our team to design and implement data-driven strategies using Python and R Programming.
2. Performing data analysis and statistical modeling to generate actionable insights for strategic decision-making.
3. Leveraging cloud computing platforms to efficiently store, process, and manage large datasets.
4. Building and maintaining REST APIs to facilitate seamless system integration.
5. Applying machine learning techniques to enhance predictive analytics and drive automation initiatives.
6. Supporting the creation and optimization of data pipelines to ensure optimal performance and efficiency.
7. Staying up-to-date with the latest technological advancements and industry trends to bring fresh perspectives to our projects.
If you're excited about gaining real-world experience in a fast-paced, collaborative, and supportive environment, apply now to join the Alpha Knox team at ORIM!
Only those candidates can apply who:
1. are available for the part time job/internship
2. can start the part time job/internship between 19th Aug'24 and 9th Oct'24
3. are available for duration of 2 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
1. Candidates currently pursuing a degree in Computer Science, B.Tech, or a related field are preferred.
2. Ideal candidates are enthusiastic about applying their programming skills to create innovative models and strategies in the world of finance.
3. Strong knowledge of programming languages such as Python, R, or C++ is essential. Familiarity with cloud programming, blockchain technology, and data analysis is a significant advantage.
4. Candidates with a solid foundation in mathematics, statistics, and data-driven decision-making are encouraged to apply.
5. Candidates who excel in analytical thinking and have a knack for solving complex problems, particularly in a financial context, will thrive in this role.
6. A strong willingness to learn and adapt to the fast-paced and ever-evolving world of quantitative finance is key.
Our objective is to create a data analytics solution that would provide risk analytics and financial advisory to all kinds of asset classes. We plan to create a digitized technology-driven solution which could be accessed by all individuals who are interested in investments. We would help analyze the right investment plans for each individual as per their risk profile and goals. Our sole aim is to serve as optimum risk and investment matching advisors.
