Please contact Prasad at BNY Mellon directly in addition to applying via the application link included in this job posting (replace the "AT" with @):  Abhinav.Prasad "AT" bnymellon.com

What we are doing

We launched just over two years ago a global digital team, led by Roman Regelman, who is also CEO of Asset Servicing. The Digital team drives BNY Mellon’s core digitization strategy and is responsible for mapping our digital future, investing in digital capabilities, including analytics, artificial intelligence, machine learning, blockchain and others.

The Digital team focuses on maximizing the impact of our investments in digital capabilities by driving significant improvements in business performance, developing new service offerings / products as well as enhancing client and employee experience. The team is accelerating execution of the bank’s innovation strategy.

Role and Responsibilities:

As a member of the Advanced Digital Solutions team, you will have the opportunity to deliver tangible value and advance the digital agenda across the enterprise by accelerating effective use of AI. We want someone who has an excellent knowledge of statistics and machine learning. Additionally, you must love writing code and have exceptional programming skills

• Lead in the development, validation and delivery of algorithms, statistical models and reporting tools.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
• Work with cross-functional teams to gather, wrangle, cleanse, and structure data and build models that are aligned with measurable business outcomes.
• Work with current databases to build pipelines for manipulation, visualization, and descriptive/predictive modeling
• Driving / promoting best practices on effective use of AI solutions

Qualifications:

• Advanced Degree in Mathematics, Computer Science, Engineering or a related discipline, or equivalent work experience required.
• 6+ years of industry experience in analytics, data science or related field

Skills and Competencies:

• Deep understanding of statistical concepts including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression
• Proficiency with statistical and data mining techniques including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis, dimensionality reduction algorithms
• Proficiency with machine learning techniques such as clustering, decision tree learning, naive Bayes, support vector machines, neural networks, sequential models for NLP.
• Stellar programming ability in Python
• Proficiency with frameworks including TensorFlow, Torch, scikit-learn, Keras, etc.
• Visualizing and presenting data for stakeholders using: plotly, seaborn, ggplot, etc
• Experience with databases (PostgreSQL, MySQL, Oracle, MongoDB)
• Experience working in a production environment including best practice tools
• Ability to communicate complex concepts in easy-to-understand terminology
• Excellent analytical and problem-solving skills
• Able to deal well with uncertainty and unstructured problems to be solved    
• Experience in the securities, financial services, or asset management industry a plus