CME Group is looking for highly motivated interns who have demonstrated outstanding achievements in academic and extracurricular activities.
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CME Hiring Details
| Job Title | Quant-Intern |
| Req. ID | 31586 |
| Experience | Fresher |
| Job Location | Bangalore |
| Qualifications | Bachelors / Masters Degree |
| Expected Salary | ₹5 LPA – ₹6 LPA |
| Official Website | CME Group |
Job Overview
At CME Group you will be focusing on fundamental business issues – managing risks, increasing revenues, controlling costs and offer an opportunity to work side by side in our world class facilities with our extremely talented team who work on cutting edge technology paired with the challenging demands of the intensive world of a financial exchange.
Responsibilities
- Create tools/solutions to automate/streamline critical business process or new business needs.
- Support the Quant Risk Team (QRT) to build research analysis tools for different risk models, with monthly BAU tasks and reporting. This includes for example preparing monthly reports for regulators.
- Understand the basics of Enterprise Risk management, provide remediation’s and compensating controls recommendations.
- Work for Pricing and Valuation team in OTC Settlements space and ideating for next generation solutions around this.
- Understand the CME product and service launch workflows. Work on automating various compression tools.
- During your internship, you can meet a variety of people, allowing you to form relationships, you can build on in the future.
- Certain Individuals who excel in their field will accompany you as Mentors throughout the course of the internship.
- The internship will expose you to our culture at CME Group and provide you with a knowledge base to draw upon throughout the remainder of your internship and beyond.
Principal Accountabilities
- Ensure that the assigned tasks are completed on time with impeccable quality.
Education
- Attend a Bachelor’s in engineering /Bachelor’s in Science (Math’s / Statistics majors only) / Masters/ PhD course in a finance/mathematics related subject.
Experience
While a background in finance or accounting is not required, you should be comfortable with numerical computation and have a demonstrable interest in working in financial services.
Software Requirements
At least one programming skills
- Python, C#, Java, C++ ( Essential)
- Oracle, SQL Server (Desirable)
Skill set
- Any knowledge of Applied mathematics / calculus / economic theory / statistics would be helpful.
- Any background in Financial Engineering would be very useful .
- Algorithms, Pseudo codes, DB Queries (Joins and Views), Problem-approach .
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