Brilliant minds are attracted to an exceptional brand; our undoubted reputation is created by the determination, passion, hard work and efforts of our entire team.
We offer career opportunities across the world, including various skills and expertise. Our careers offer a variety of roles across all departments including Financial Analysts, Data Analysts, Data Scientists, Software Developers, Python Developers, Marketing Specialist, Finance Specialists, Human Resources, Account Managers.
1. Risk Management Officer
First Financial Banc is one of the leading companies in our field in the area. We are hiring a talented Risk
Manager professional to join our team. If you're excited to be part of a winning team, First Financial Banc is
a great place to grow your career. You'll be glad you applied to First Financial Banc
Risk Management Officer Responsibilities:
Conducting detailed risk assessments.
Analyzing market trends, reports, statistics, and relevant documentation.
Compiling and analyzing data and information about the organization, its practices, and legal obligations.
Reviewing current risk management policies and protocols.
Observing and assessing internal operations.
Evaluating risk levels and implications.
Developing and implementing policies and contingency plans to reduce and control risks and liabilities.
Preparing and presenting risk assessment reports and proposals.
Risk Management Officer Requirements:
Degree in business administration, economics, finance, or a related field required.
2+ years of experience in risk management or a related role.
Proficiency in risk management, financial analysis, and related software.
Strong analytical and problem-solving skills.
Excellent organizational and communication skills.
Strong attention to detail.
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
Responsibilities for Data Scientist:
"Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy
Qualifications for Data Scientist:
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Coding knowledge and experience with several languages: C, C++, Java,
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.