Truist
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Regular or Temporary:
Regular Language Fluency:
English (Required) Work Shift:
1st shift (United States of America) Overview
Please review the following job description to understand the responsibilities and requirements for this role. Responsibilities
Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcomes. Engage in stakeholder meetings to identify business objectives and scope solution requirements. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the aim of continually advancing Truist’s capabilities. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. Qualifications
Required Qualifications
Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training Understanding of statistical methods, including classical statistics, probability theory, econometrics, time-series analysis, and primary statistical tests Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes Understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications
Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering Four years of relevant work experience if candidate lacks a graduate degree Previous experience in the banking or fintech industry Other Job Requirements / Working Conditions
Sitting: Constantly (More than 50% of the time) Visual / Audio / Speaking: Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding: Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability: Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel: Minimal and up to 10% Benefits
General description of available benefits for eligible employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and status) during their first year, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s benefits, please visit the Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Equal Opportunity Employer:
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify Charlotte, NC Note: This description reflects current requirements and may be subject to change.
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Regular Language Fluency:
English (Required) Work Shift:
1st shift (United States of America) Overview
Please review the following job description to understand the responsibilities and requirements for this role. Responsibilities
Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcomes. Engage in stakeholder meetings to identify business objectives and scope solution requirements. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the aim of continually advancing Truist’s capabilities. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. Qualifications
Required Qualifications
Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training Understanding of statistical methods, including classical statistics, probability theory, econometrics, time-series analysis, and primary statistical tests Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes Understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications
Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering Four years of relevant work experience if candidate lacks a graduate degree Previous experience in the banking or fintech industry Other Job Requirements / Working Conditions
Sitting: Constantly (More than 50% of the time) Visual / Audio / Speaking: Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding: Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability: Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel: Minimal and up to 10% Benefits
General description of available benefits for eligible employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and status) during their first year, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s benefits, please visit the Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Equal Opportunity Employer:
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify Charlotte, NC Note: This description reflects current requirements and may be subject to change.
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