Sr. Consultant/Manager - Analytics Consulting - Banking

Tiger Analytics, LLC

Dallas (TX)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Job summary

Tiger Analytics, LLC in Dallas seeks a Sr. Consultant/Manager to lead transformative analytics engagements for banking risk and compliance.

The role blends hands-on data science with client-facing consulting to develop predictive models and frameworks that inform strategic decisions. You will collaborate with risk management, finance, and policy teams to implement forecasting models, validate results, and present findings to senior leadership.

Qualifications

  • 5-8 years of experience in consulting, analytics, risk management roles.
  • Hands-on or solution design experience with Data Science/ Machine Learning algorithms.
  • Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  • Experience with model validation and regulatory compliance related to credit risk, market risk, AML.

Responsibilities

  • Work in consulting engagements focused on leveraging Data Science/Advanced Analytics to solve banking risk and compliance problems.
  • Apply advanced analytics to identify trends and provide data-driven insights.
  • Cross-functional Collaboration: Engage with risk management, financial planning, and credit policy teams to implement forecasting models.
  • Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance and findings.

Skills

Data Analysis
Model Validation
Regulatory Compliance
Risk Management
Python
R
SQL
Excel

Tools

Python
R
SQL
Excel

Job description

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

  1. 5 - 8 years of experience in consulting, analytics, risk management roles.
  2. Demonstrated hands-on or solution design experience with Data Science/ Machine Learning algorithms.
  3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  4. Experience with model validation and regulatory compliance related to credit risk, market risk, AML.
  5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
  6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
  7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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