Analyst Programmer
(At least 10+ years of experience in Banking and Financial Services domain)
Salary: AUD 90,000 - 110,000 annually. Full Time.
About INGRITY:
We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMB’s in the financial services sector, to extract value from data.
At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility. As part of our growth strategy, we are inviting expressions of interest from eligible candidates to join our team and help our clients achieve their goals.
Key Skills & Experience:
Technical capabilities:
Should have in-depth knowledge of data science programming languages like Python, R, and Spark.
Should have a detailed understanding of Machine learning algorithms with the ability to modify their mathematical formulations to provide best-in-class analytical solutions.
Proven experience in solution deployment using Rest-APIs and other web services.
Must have experience handling data science projects in the general insurance and corporate banking domain.
Must have working experience in delivering analytical projects in a distributed computing environment.
Ability to develop machine learning pipelines for production-ready solutions.
Good to have experience in delivering NLP solutions on unstructured text data.
Must have superior SQL skills.
Should have hands-on knowledge of data visualization tools like Tableau and Power BI.
Experience with Azure AI is a plus.
Non-Technical capabilities:
Ability to work within complex and challenging data environments.
Proven experience in collaborating with internal business, reporting, and data engineering teams.
Should be able to work in the capacity of solution architect providing both domain and technical solutions to clients’ problems.
Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
Manage end-to-end delivery of data science projects comprising solution design, ML pipeline development, and deployment.
Continuously develop new and improved data science best practices and ML capabilities.
Responsibilities:
Lead a team of junior data scientists and data engineers to deliver analytical projects across the BFSI domain.
Work with both technical and business stakeholders throughout the organization to identify opportunities for leveraging company data to drive solutions.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyse model performance using tools like model drift, and data drift reports.
Should be able to establish reliable AI frameworks in line with AI regulation to ensure zero solution bias.
Educational Qualification:
Masters in the business domain.
Bachelors in Computer Science, Mathematics, Statistics, or equivalent discipline.
Your development and Career Progression:
At Ingrity we’re committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration and flexibility.
With customer service in mind at every touchpoint, we take accountability for the role we play in creating and enhancing our client's business through the use of data-driven decisioning. At Ingrity, our belief is to “Imagine the impossible”.
(At least 10+ years of experience in Banking and Financial Services domain)
Salary: AUD 90,000 - 110,000 annually. Full Time.
About INGRITY:
We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMB’s in the financial services sector, to extract value from data.
At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility. As part of our growth strategy, we are inviting expressions of interest from eligible candidates to join our team and help our clients achieve their goals.
Key Skills & Experience:
Technical capabilities:
Should have in-depth knowledge of data science programming languages like Python, R, and Spark.
Should have a detailed understanding of Machine learning algorithms with the ability to modify their mathematical formulations to provide best-in-class analytical solutions.
Proven experience in solution deployment using Rest-APIs and other web services.
Must have experience handling data science projects in the general insurance and corporate banking domain.
Must have working experience in delivering analytical projects in a distributed computing environment.
Ability to develop machine learning pipelines for production-ready solutions.
Good to have experience in delivering NLP solutions on unstructured text data.
Must have superior SQL skills.
Should have hands-on knowledge of data visualization tools like Tableau and Power BI.
Experience with Azure AI is a plus.
Non-Technical capabilities:
Ability to work within complex and challenging data environments.
Proven experience in collaborating with internal business, reporting, and data engineering teams.
Should be able to work in the capacity of solution architect providing both domain and technical solutions to clients’ problems.
Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
Manage end-to-end delivery of data science projects comprising solution design, ML pipeline development, and deployment.
Continuously develop new and improved data science best practices and ML capabilities.
Responsibilities:
Lead a team of junior data scientists and data engineers to deliver analytical projects across the BFSI domain.
Work with both technical and business stakeholders throughout the organization to identify opportunities for leveraging company data to drive solutions.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyse model performance using tools like model drift, and data drift reports.
Should be able to establish reliable AI frameworks in line with AI regulation to ensure zero solution bias.
Educational Qualification:
Masters in the business domain.
Bachelors in Computer Science, Mathematics, Statistics, or equivalent discipline.
Your development and Career Progression:
At Ingrity we’re committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration and flexibility.
With customer service in mind at every touchpoint, we take accountability for the role we play in creating and enhancing our client's business through the use of data-driven decisioning. At Ingrity, our belief is to “Imagine the impossible”.
