Data Scientist I

Job Description:

The Analytics and Information Strategy (AIS) team is part of the Enterprise Credit organization. The primary focus of the AIS team is to produce and communicate high-quality, fit-for-use, and concise data and information related to Global Banking and Enterprise Credit. This team is responsible for enhancing Enterprise Credit data processes, including platforms, reporting, governance, data management and data remediation.

This Data Scientist role will support the Data Initiative and Strategy team, focusing on model data support, and will be responsible for enabling analysis, modeling, and optimization by contributing to strategic design and production efforts. This includes how data is managed, with a focus on improvement of how data is sourced across multiple upstream lines of business and managed within the Wholesale Credit data infrastructure. The primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. The role also involves idea generation and application of advanced techniques towards complex data system and process challenges including robotics, document digitization, machine learning, statistical analysis, and E2E transformation.

Required Skills: “Must” have these skills to be minimally qualified.:

• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight

• Critical thinker; ability to analyze problems and identify both tactical and strategic solutions to address

• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment

• Knowledge of Data management (data quality, metadata management, governance, etc.)

• Experience with credit-related processes and systems including the distribution/use of credit data for analytics, modeling, and reporting

• Able to identify and remediate risks in a timely manner

• Able to navigate the enterprise / source information across multiple functions

• Data analysis experience with moderate SQL or Oracle skills

• Microsoft Office Suite (Excel, Powerpoint, Visio, etc.) experience and strong understanding of data relationships

• Good verbal and written communication skills

• General knowledge of bank financial practices and policies

Desired Skills:

• Degree in business, computer science or related discipline

• Experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures

• Familiarity with Wholesale Credit systems

• Project management and/or process design experience

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0 –>

Job Description:

The Analytics and Information Strategy (AIS) team is part of the Enterprise Credit organization. The primary focus of the AIS team is to produce and communicate high-quality, fit-for-use, and concise data and information related to Global Banking and Enterprise Credit. This team is responsible for enhancing Enterprise Credit data processes, including platforms, reporting, governance, data management and data remediation.

This Data Scientist role will support the Data Initiative and Strategy team, focusing on model data support, and will be responsible for enabling analysis, modeling, and optimization by contributing to strategic design and production efforts. This includes how data is managed, with a focus on improvement of how data is sourced across multiple upstream lines of business and managed within the Wholesale Credit data infrastructure. The primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. The role also involves idea generation and application of advanced techniques towards complex data system and process challenges including robotics, document digitization, machine learning, statistical analysis, and E2E transformation.

Required Skills: “Must” have these skills to be minimally qualified.:

• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight

• Critical thinker; ability to analyze problems and identify both tactical and strategic solutions to address

• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment

• Knowledge of Data management (data quality, metadata management, governance, etc.)

• Experience with credit-related processes and systems including the distribution/use of credit data for analytics, modeling, and reporting

• Able to identify and remediate risks in a timely manner

• Able to navigate the enterprise / source information across multiple functions

• Data analysis experience with moderate SQL or Oracle skills

• Microsoft Office Suite (Excel, Powerpoint, Visio, etc.) experience and strong understanding of data relationships

• Good verbal and written communication skills

• General knowledge of bank financial practices and policies

Desired Skills:

• Degree in business, computer science or related discipline

• Experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures

• Familiarity with Wholesale Credit systems

• Project management and/or process design experience

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description: The Analytics and Information Strategy (AIS) team is part of the Enterprise Credit organization. The primary focus of the AIS team is to produce and communicate high-quality, fit-for-use, and concise data and information related to Global Banking and Enterprise Credit. This team is responsible for enhancing Enterprise Credit data processes, including platforms, reporting, governance, data management and data remediation.

This Data Scientist role will support the Data Initiative and Strategy team, focusing on model data support, and will be responsible for enabling analysis, modeling, and optimization by contributing to strategic design and production efforts. This includes how data is managed, with a focus on improvement of how data is sourced across multiple upstream lines of business and managed within the Wholesale Credit data infrastructure. The primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. The role also involves idea generation and application of advanced techniques towards complex data system and process challenges including robotics, document digitization, machine learning, statistical analysis, and E2E transformation.

Required Skills: “Must” have these skills to be minimally qualified.:

• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight

• Critical thinker; ability to analyze problems and identify both tactical and strategic solutions to address

• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment

• Knowledge of Data management (data quality, metadata management, governance, etc.)

• Experience with credit-related processes and systems including the distribution/use of credit data for analytics, modeling, and reporting

• Able to identify and remediate risks in a timely manner

• Able to navigate the enterprise / source information across multiple functions

• Data analysis experience with moderate SQL or Oracle skills

• Microsoft Office Suite (Excel, Powerpoint, Visio, etc.) experience and strong understanding of data relationships

• Good verbal and written communication skills

• General knowledge of bank financial practices and policies

Desired Skills:

• Degree in business, computer science or related discipline

• Experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures

• Familiarity with Wholesale Credit systems

• Project management and/or process design experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40