Financial Data Science, Senior Consultant

Company: US101 Guidehouse Inc.
Location: Atlanta
Posted on: March 21, 2023

Job Description:

Financial Data Science, Senior Consultant page is loaded Financial Data Science, Senior Consultant Apply locations US - GA, Atlanta US - Remote (Any location) US - VA, Arlington US - VA, McLean time type Full time posted on Posted Yesterday job requisition id 8019 Job Family:Data Science Consulting
Travel Required:Up to 25%
Clearance Required:Ability to Obtain Public TrustWhat 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: 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 The annual salary range for this position is $74,900.00-$149,800.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
      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 StipendAbout 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.
        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 RecruitingAccommodation@guidehouse.com . 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. Similar Jobs (5) Financial Data Science, Senior Consultant locations 2 Locations time type Full time posted on Posted 30+ Days Ago AI/ML Health Data Scientist - Senior Consultant locations 3 Locations time type Full time posted on Posted 14 Days Ago About Us Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 13,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit guidehouse.com .

Keywords: US101 Guidehouse Inc., Atlanta , Financial Data Science, Senior Consultant, Professions , Atlanta, Georgia