Senior Manager - Applied Artificial Intelligence/Machine Learning - BFS

Responsibilities :

- Collaborate with Operations teams to formulate relevant financial and business questions that can be answered by data analysis.

- Research and analyze data sets using a variety of statistical and machine learning techniques

- Communicate final results and give context.

- Document approach and techniques used.

- Work on longer-term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.

- Collaborate with other machine learning teams.

Required Technical Qualifications and experience :

- MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with experience in a highly quantitative position.

- Hands- on experience analyzing data.

- Strong ability to develop and debug in Python or similar professional programming language.

- Problem solving and collaboration skills

Nice to Have :

- Experience with natural language processing (NLP). Ideally, some experience with machine learning APIs and computational packages (examples:

- Ideally, some experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit- Learn, NumPy, SciPy, Pandas, statsmodels).

- Experience with big- data technologies such as Hadoop, Spark, SparkML, etc.

- Should be able to work both individually and collaboratively in teams, in order to achieve project goals

- Must be curious, hardworking and detail- oriented, and motivated by complex analytical problems

- Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model's performance which are aligned with business goals.

- Must be able to independently research and propose alternatives with some guidance as to problem relevance.

- Must be able to undertake basic and advanced EDA, may require some direction from the more senior team; should be aware of limitation and implication of methodology choices.

- Ensures re-use and sharing of ideas within the team and locale.

- Able to work with non-specialists in a partnership model conveys information clearly and creates a sense of trust with stakeholders.

- Shows institutional awareness and some understanding of applied problem solving, may require coaching and guidance as to how to most rapidly reach a satisfactory conclusion