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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

Team Description
Consumer Data Research & Development Team serves a key function to research, build and manage critical data assets/capability to enable and enhance consumer loss forecasting process for GRA. The work and output from the team involve in research into complex topics, provide key inputs to consumer loss forecasting process and serve a wide audience across the consumer risk space.


Job Description
The Quantitative Financial Analyst collects, analyzes, tests and researches data to support the consumer loss forecasting administration.  Through data mining, investigation and transformation, the Quantitative Financial Analyst will expand the team’s understanding and knowledge of various data that will be beneficial to the risk identification and remediation. This position interacts with both technical and non-technical resources to develop and maintain data inventories, reporting, and data classification. Works independently, with intellectual curiosity and technical proficiency, to conduct research and validate and present outcomes, while insuring data integrity. This position is for self-starter, responsible for formulating and managing medium to small-sized projects, as well as assisting in strategy development and roadmaps to deliver high value solutions.

Required Job Skills:
    Minimum 3 years of related experience
    Strong knowledge and high proficiency in SQL, SAS, etc. 
    Attention to details and willingness to dive deeper into complex databases and sources
    Knowledge and experience of various platform such as Teradata, Oracle, Hadoop etc
    Proficient in data management tools and analysis routine such as DQ, access control, privacy etc.
    Ability to manage multiple and mixed priorities
    Trustworthy and strong collaborator
    Attention to detail and ability to work with minimal instruction
    Process mapping and design
    Lead and adapt to change and transformation

Desired Job Skills:
    Experience in data science and analysis, with excellent analytical skills
    Strategic thinker that can understand complex business challenges and potential solutions
    Demonstrated ability to organize and work collaboratively across multiple teams and functions
    Strong written/oral communication skills, with the ability to adjust to both technical and executive audiences
    Flexibility to work both independently with little supervision and in a complex team environment
    Strong knowledge and proficiency with technical tools such as Python, SQL, SAS, Tableau
    Solid knowledge and experience of wrangling with large data and generating insights 

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Team Description
Consumer Data Research & Development Team serves a key function to research, build and manage critical data assets/capability to enable and enhance consumer loss forecasting process for GRA. The work and output from the team involve in research into complex topics, provide key inputs to consumer loss forecasting process and serve a wide audience across the consumer risk space.


Job Description
The Quantitative Financial Analyst collects, analyzes, tests and researches data to support the consumer loss forecasting administration.  Through data mining, investigation and transformation, the Quantitative Financial Analyst will expand the team’s understanding and knowledge of various data that will be beneficial to the risk identification and remediation. This position interacts with both technical and non-technical resources to develop and maintain data inventories, reporting, and data classification. Works independently, with intellectual curiosity and technical proficiency, to conduct research and validate and present outcomes, while insuring data integrity. This position is for self-starter, responsible for formulating and managing medium to small-sized projects, as well as assisting in strategy development and roadmaps to deliver high value solutions.

Required Job Skills:
    Minimum 3 years of related experience
    Strong knowledge and high proficiency in SQL, SAS, etc. 
    Attention to details and willingness to dive deeper into complex databases and sources
    Knowledge and experience of various platform such as Teradata, Oracle, Hadoop etc
    Proficient in data management tools and analysis routine such as DQ, access control, privacy etc.
    Ability to manage multiple and mixed priorities
    Trustworthy and strong collaborator
    Attention to detail and ability to work with minimal instruction
    Process mapping and design
    Lead and adapt to change and transformation

Desired Job Skills:
    Experience in data science and analysis, with excellent analytical skills
    Strategic thinker that can understand complex business challenges and potential solutions
    Demonstrated ability to organize and work collaboratively across multiple teams and functions
    Strong written/oral communication skills, with the ability to adjust to both technical and executive audiences
    Flexibility to work both independently with little supervision and in a complex team environment
    Strong knowledge and proficiency with technical tools such as Python, SQL, SAS, Tableau
    Solid knowledge and experience of wrangling with large data and generating insights 

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21072129

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0