Financial Services - Banking & Capital | Lvl 9
Financial Services - Banking & Capital | Lvl 9
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Job Description
What you would do in this role
Work closely with clients to understand their business goals and challenges.•
Develop data strategies aligned with business objectives and industry best practices.•
Collaborate with business stakeholders to understand analytical requirements and deliver
actionable insights
•
Identification of key business questions through data collection and ETL and from
performing analyses and using a wide range of statistical machine learning and applied
mathematical techniques to delivery insights
•
Develop and implement predictive models to assess and manage financial risks leveraging
advanced data science techniques.
•
Build predictive models to assess and maximize Customer Lifetime Value enabling
targeted retention and acquisition strategies.
•
Help in responding to RFP’s and design POVs•
Working across client teams to develop and architect Generative AI solutions using ML and
GenAI
•
Implement data security measures to safeguard sensitive financial information and ensure
adherence to industry standards.
Who we are looking for
38 years of experience in Data Scienece preferably with financial services clients•
Bachelor’s or master’s degree in a relevant field – Computer Science / Statistics / Data
Science / Econometrics / Economics / Engineering from reputed institute or MBA from
Tier1 colleges
•
Proficiency in programming languages such as Python R Scalapyspark•
Possess strong analytical skills to derive meaningful insights from complex data sets•
Experience with data visualization tools (Tableau Power BI etc.)•
Knowledge of Data Science and Machine Learning concepts and algorithms such as
clustering regression classification forecasting hyperparameters optimization NLP
computer vision speech processing; understanding of ML model lifecycle would be an
asset
•
Experience in Supervisory analytics (like Network Analytics IFRS9 / Basel Risk Analytics
Balance of Payments Analytics Licensing analytics AML etc) is a plus
•
Strong domain experience in one of the following:
Central banks (Monetary / Regulatory / Compliance / BASEL)
Commercial Banking
Asset & Wealth management
•
Proven experience in one of data engineering data governance data science roles•
Experience in Generative AI or Central / Supervisory banking is a plus.•
Experience with any Cloud Technologies (MS Azure GCP AWS)•
Familiarity with Deep Learning concepts & tools (H2O TensorFlow PyTorch Keras
Theano etc.) is a plus.
•
Excellent communication and clientfacing skills•
Ability to work independently and collaboratively in a team•
Project management skills and the ability to manage multiple tasks concurrently•
Strong written and oral communication skills
Employment Type
Full Time
