Quantile Analytics - Team Lead - Quantitative Research

Team Lead - Quantitative Research

We are looking for a Quantitative Researcher who will perform quantitative financial research and help develop quantitative trading strategies in global equity markets. The individual will work closely with our client`s research and development team in the US to identify and quantify research ideas from a variety of academic and non-academic sources and guide the development of a quantitative research and back-testing platform by local technology colleagues.

The role offers a tremendous opportunity to :

- Work closely with and learn from experienced and successful investment professionals who are working at the cutting edge of investments and finance and;

- Experience significant professional growth and learning from a newly set up business

Job description :

1. Enable efficient investment decision making by developing and maintaining a research repository of relevant financial articles on a historical as well as an on-going basis. The specific responsibilities include:

- Collect research papers/articles from a variety of journals, research websites, blogs, etc that describe specific financial market anomalies and can lead to the design of quantitative trading strategies

- Catalog, index and classify articles and create an extensive database of research articles

- Create concise summaries for the relevant set of articles in the database

- Organize articles into specific categories/themes to create a domain-specific body of research

- Update database continuously by monitoring changes in the underlying sources of information

2. Develop domain expertise in a broad set of topics in quantitative trading through perusal of scholarly articles, books, quantitative trading blogs and other information sources

3. Utilize the client's cloud computing research environment to replicate specific financial research papers and present performance results according to a standardized research template

4. Provide client researchers with a short list of validated high-quality trading ideas

Attributes of a qualifying candidate are:

- Ability to lead a team of Quantitative Researchers.

- Strong analytical and problem-solving skills with the ability to formalize research approaches and methodologies to analyze fundamental and statistical data that drives equity performance

- Knowledge of programming language Python/ Java and software package - R-

- Excellent time and project management skills and the ability to do multitasking between several timeline-based projects

- Excellent written and oral skills in English with the ability to communicate complex ideas and concepts in a lucid and concise manner

- Ability to operate comfortably in an unstructured start-up environment with partial information and ambiguity

- Comfortable in working in a team setting and collaborating with local and remote colleagues and mentors

Eligible Qualification:

- Fellow program in Management in the area of Finance with Electrical Engineering/ Computer Science/ Mechanical Engineering / Chemical Engineering at graduation level and good knowledge in programming in Python/ Java with C/C++.

- Ph.D. in Electrical Engineering/ Computer Science/ Mathematics/ Statistics and good knowledge in programming in Python/ Java with C/C++.

- Post graduates in Quantitative Finance with Electrical Engineering/ Computer Science/Mechanical Engineering/ Chemical Engineering at graduation level and good knowledge in programming in Python/ Java with C/C++.

Experience:

- 5-7 years of relevant Experience. Ability to lead the team of Quantitative Researchers is a must.

Working Hours:

Six Days a week. Timings as per client's needs.

Compensation:

As per Industry standards.

Location:

Indore

Hiring Process :

1. Shortlisting of Resumes

2. Skype Interview by Company

3. Skype Interview by US Client

4. HR Round at Indore

5. Signing of Confidentiality and Intellectual property Agreement, Non-Compete and Non-solicitation agreement

6. Joining

Interested Candidates are encouraged to apply preferably by Sept 18, 2017.