Financial Data Scientist, Senior Consultant

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 12,000 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 www.guidehouse.com.

Responsibilities

Guidehouse is currently looking for a Senior Consultant to join our cross-cutting functional team supporting federal and commercial financial services clients in Advanced Analytics and Intelligent Automation. We are looking for this person to be both an innovative solution lead and to be involved in shaping and continuing the growth of our business in advisory and data product services. 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 engineering, data querying and 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

Candidates should be market-facing self-starters who bring with them a high level of ownership over their work, an enthusiastic attitude, and a collaborative mindset to support our efforts to sell and provide consulting solutions. Your role will be to coordinate activities across multiple projects and provide experience-based insight into client operations. Some of the activities that you can expect to be part of your day-day responsibilities: engaging leadership to discuss pressing needs, helping teams understand dependencies across programs, acting as a contributor to team meetings, helping to develop strategic communications, and supporting account strategy.

Qualifications

Job Description/Responsibilities

• Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry, and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.
• Work with team to identify requirements, design, implement and test analytical methods and solutions
• Identify, collect, analyze, and validate data from a variety of data sources
• Identify opportunities to design and develop modules that enable effective and repeatable analysis of large datasets
• Research, identify, test, and develop software solutions that may enhance existing client service offerings
• Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights
• Leverage automation and data science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining data ecosystems, sourcing analytics expertise and providing offerings for continuous insights and improvements
• Exemplify and reinforce quality standards in work products
• Discuss and develop solutions with client service teams and existing/new clients

Required:

• Years of Experience: 3+
• Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline
• Significant experience working with analytical models, methods, applications, and tools.
• Strong understanding / experience performing statistical analysis, simulation, predictive modelling and machine learning, artificial intelligence.
• Ability to select and apply the appropriate analytical techniques.
• Ability to analyze large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis.
• Proficiency performing data science and predictive modeling using Python, R or SAS.
• Proficiency querying data using SQL.
• Proficiency in handling data using Excel.
• Visualization skills with tools such as Tableau, Power BI, or R Shiny.
• Ability to identify and address client needs, build relationships, design, and implement solutions

Preferred:

• Experience in either public or private sector financial services industry
• Experience leading small teams
• Development on MS Power Platform, i.e., Power Apps
• Technical/product management and software experience
• Experience with Agile, Waterfall Project management methodologies