Financial Data Science, Senior Consultant

Key Skills

Aartificial intelligence, Agile methodologies, AWS, Azure, Cloud computing, Containerization, Data science techniques, DataOps, Docker, Finance, Financial Risk, Git, Google Cloud Platform (GCP), Kubernetes-K8s, Looker, Machine learning techniques, Microsoft-Excel, MLOps tools, PowerBI, Predictive Modeling, Product Management, Project management, Python Programming, R Programming, SAS, Statistics

Job Description

What You Will Need:

Security clearance: Ability to obtain a Public Trust clearance

Minimum years of relevant experience: 3

Education: B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Experience working with analytical models, methods, applications, and tools, such as:

• Statistical analysis, predictive modelling, simulation, machine learning, and artificial intelligence
• Selecting and applying the appropriate analytical techniques
• Ability to analyze large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis focused on financial services use cases such as financial impact analysis, know-your-customer, financial modeling, forecasting, credit risk management, pricing and revenue optimization, Fair Lending, and/or ESG among others
• Fluency in Python, R or SAS for performing data science and predictive modeling, SQL for querying, and Git for version control
• Proficiency in handling data using Excel
• Visualization skills with tools such as Power BI, Superset, Looker, or R Shiny
• Comfortable communicating highly technical information to semi- or non-technical leadership audience
• Ability to identify and address client needs, build relationships, design, and implement solutions

What Would Be Nice To Have:

Desired Experience: 

Education: M.S./M.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Skills and/or proven success in the following:

• Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members
• Collaborating and working in a team environment, as well as the ability to work independently
• Communicating effectively to various audiences, including various levels of management and external clients, in a professional environment
• Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
• Business development including RFP/RFQ responses, developing white papers/concept papers, and building and demonstrating prototype solutions to customers 
• Experience in consumer financial services and/or model governance and risk management with knowledge of regulatory principles such as SR 11-7
• Experience leading small teams
• Strong understanding and experience applying, tuning, evaluating, and operationalizing machine learning/AI models
• Understanding of ML/analytics product lifecycle management (MLOps, DataOps)
• Cloud technology experience (Azure, GCP, AWS) and/or containerization (Docker, Kubernetes)
• Knowledge of modern data stack for developing data pipelines
• Technical/product management and software experience
• Experience with Agile, Waterfall Project management methodologies

Additional Requirements:

• Compensation may vary based on education, skills, experience and location.
• This is an exempt level role that may require more than 40 hours of work per week.
• The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.
• Selected Candidate must be able to work Eastern Standard Hours.
• US Citizenship is contractually required for this position

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.