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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Application Programming / Maintenance |
| EmploymentType | Full-time |
Position Description :We Are looking for an experienced quantitative professional to develop, implement, test, and maintain the core algorithms and R&D framework for its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms.The ideal candidate for this role has successfully implemented and maintained quantitative and statistical modules using software design constructs and commercial tools.The candidate will be motivated, a problem solver and a team player looking to make a significant impact on a fast-growing company. The successful candidate will directly report to the Head of Quant Research & Development.Responsibilities :- The end-to-end research, development, and maintenance of investment algorithms- Take part in building out the R&D back testing and simulation framework- Thoroughly vet investment algorithmic results- Contribute to the research data platform design- Investigate datasets for use in new or existing algorithms- Participate in agile development practices- Liaise with stakeholders to gather & understand the functional requirements- Take part in code reviews ensuring quality meets highest level of standards- Develop software using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live- Support research innovation through the creative and aggressive experimentation of cutting-edge hardware, software, processes, procedures, and methods- Collaborate with technology teams to ensure appropriate requirements, standards, and integrationQualifications/Skill Sets :- Experience in a quant research & development role- Proficient in Python, Git and Jira- Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus- Knowledge in SQL and database development (PostgreSQL is a plus)- Understanding of R and RMarkdown is a plus- Bachelors degree in computer science, computational mathematics, or financial engineering- Masters degree or advanced training is a strong plus- Excellent mathematical foundation and hands-on experience working in the finance industry- Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.- Strong communication (written and oral) and analytical problem-solving skills- Strong sense of attention to detail, pride in delivering high-quality work and willingness to learn- An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)
Keyskills :
database developmentprofessional liabilityetfsproblem solvinggitsoftware designmutual fundswealth managementinvestment advisorycomputer sciencecomputational mathematicsfinancial instrumentsquality standardshigh quality standardscapital mar