Manager/AVP - Data Scientist - Investment Bank

We are recruiting Data scientists for the technology centre of the largest investment banks in the world.

- In-depth knowledge of R

- In-depth knowledge of SQL and other database languages

- In-depth knowledge of Python and other programming languages

- Knows how to automate reports by integrating databases and Python scripts

- Significant experience with web analytics

- In-depth knowledge of Statistics

- Significant experience with visualization tools and techniques

- In-depth knowledge of Operations Research optimization techniques

- Experience with big data tools like Hadoop

- Experience with text analytics - Natural Language Processing

- Impressive academic track record

Experience : 4 - 8 years

Job Description :

- Evaluate the current operational environment and identify opportunities to leverage advanced analytics.

- Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations.

- Perform advanced quantitative and statistical analysis of large data sets to identify trends, patterns, and correlations that can be used to improve business performance.Build and deploy prototype solutions to demonstrate ideas and prove concepts.

- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.Become a subject matter expert and trusted advisor in the analytics discipline.Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.

- Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

Qualifications :

The ideal candidate will have :

Experience :

- Deep quantitative/programming background with a graduate degree, M.S. or Ph.D. in Statistics, Engineering, Computer Science, Mathematics, or Economics with a minimum GPA of 3.0

- Some practical experience, internships or co-ops in an analytics or modeling discipline

- Outstanding technical skills

- Strong working knowledge of statistics, computer science and programming

- Expertise in at least one of the following: SAS, SQL, R, Python

- Enjoys analyzing data and writing code

- Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms

- Superior analytical skills

- Outstanding critical thinking and problem solving skills

- Has an engineering mindset

- Self-starter

- Able to translate ambiguous business problems into a conceptual mathematical architecture

- Passionate about continuous learning and professional development

- Deeply curious; creative and imaginative

- Strong business acumen

- Ability to influence and become a trusted advisor

- Translates technical details, observations and results into business language

- Effective communication and presentation skills

- Able to effectively navigate an occasionally ambiguous, semi-structured work environment

- Can work both independently and collaboratively