• VP Marketing Data Research & Analytics

    Job Locations US-CA-San Diego
    Job ID
    2018-2172
    Job Type
    Regular Full-Time
    Department
    Marketing
  • Description:

    BofI Federal Bank [NASDAQ: BOFI] with over $9 billion in assets, is one of the fastest growing internet banks in the nation and is rated in the top 5 of online banks in the country!   We are very forward thinking, technologically sophisticated, and a pioneer in our industry!

     

    The VP Marketing Data Research & Analytics will be responsible for providing support to a fast-paced analytics department. This role will require the candidate to have deep problem-solving skills and possess a broad knowledge of quantitative modeling as it relates to the banking/financial services industry.

     

    • Analyze and identify business challenges and opportunities and apply modeling/statistics to make strategic and tactical recommendations
    • Consult with business partners to develop strategy to address and influence business problems
    • Analyze data, build BI tools and develop financial models
    • Communicate results and recommendation to senior management and business partners
    • Identify opportunities to apply quantitative methods to improve business performance
    • Communicate technical subject matter clearly and concisely to individuals from various backgrounds
    • Develop quantitative modeling competencies of others within the same line of business. Teach and mentor quantitative modelers
    • Manage a team of 10-13 analysts and/or researchers

    Key Skill Sets or Knowledge Requirements:

    • Research AI and financial services market conditions and assist in conducting feasibility studies to determine market demand for existing and new AI products or services
    • Expertise in one or more of the following: jame AI, reinforcement learing, agents, knowledge presentation, cognitive modeling, natural language processing, dialog systems
    • Building, maintaining and developing on software infrastructure to or cloud infrastructure to handle enterprise projects along with data integration mechanisms for interfacing between machine learning and artificial intelligence applications
    • Experience in building machine learning applications, broad knowledge of machine learning APIs, tools and open source libraries
    • Experience in designing full stack AML/AI solutions in distributed compute environment
    • Experience working with Python or R language scripts
    • Experience with statistical modeling

    Desired Career Experience & Education Requirements:

    • Graduate degree in Statistics or similar quantitative field of study (Math, Economics, Financial Engineering, Physics, Industrial Engineering, Operations Research, etc). from a highly recognized university
    • ​5+ years of experience in data analytics
    • 5+ years of proven experience in a problem solving/analytical role in a fast paced organization
    • Financial services and/or management consulting experience
    • Track record of fact-based communication to support senior decision-making
    • 3+ years of management experience

     

    Job Functions & Work Environment:

     

    While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

     

    The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

     

     

    Equal Employment Opportunity:

     

    BofI Federal Bank is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

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