Financial Data Science, Senior Consultant
Snellville, GA 30078
Job Family:Data Science Consulting
Up to 25%
Ability to Obtain Public Trust
What You Will Do:
Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.
Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.
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:
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
- 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.
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
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.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.