• Quantitative & Financial Analyst

    ID
    2018-6894
    Job Locations
    US-CA-San Francisco
    Category
    Accounting/Finance
  • Overview

    The bank’s Finance team works collaboratively with business, credit, and technology teams to generate and explain data-driven insights. This individual will be at the nexus of helping the bank’s leadership maximize the value of our data to make informed decisions, manage risks, service clients and capitalize on competitive opportunities in increasingly sophisticated ways.

    The ideal candidate has a broad skillset in areas like finance, statistics, accounting, engineering, programming, or quantitative modeling. The candidate should be curious and have an ability to quickly learn and assimilate new skills as needed. Candidates must have an attitude conducive to getting things done and delivering results under tight deadlines. To supplement these sophisticated analytical capabilities, candidates need to have solid business acumen and management-level communication (written and verbal) ability.

     

    In addition to delivering data-driven insights, the candidate is expected to:

    • Summarize insights and present key findings to senior management
    • Clearly document statistical analysis, processes, and results for model validators
    • Work as part of a team to develop business simulations, make and test predictions, and analyze simulation output
    • Write and modify SQL queries to access and refine data
    • Translate business problems into data analysis problems, and develop statistical models and data processing techniques to support business needs.
    • Understand the fundamentals of financial institutions, and quickly develop a working knowledge of lending and deposit products and associated data
    • Quickly grasp the methodology behind statistical regression models.
    • Conduct exploratory data analysis, and address common data issues like missing and extreme values.

    The Finance team seeks to hire people who can fulfill First Republic's corporate values, which include 1) doing the right thing, 2) providing extraordinary service, 3) respecting the team, 4) taking responsibility, 5) thinking positively, 6) moving forward, moving fast, 7) growing, and 8) having fun.

     

    The ideal candidate is likely to possess experience with programming languages (particularly Python or R, although neither is required) and will be expected to demonstrate a firm grasp of Microsoft Excel. Experience in financial reporting, actuarial science, financial modeling and/or statistics will also be valuable.

    Responsibilities

    • Participate in model building, data analytics, and reporting necessary for the Bank's Capital Stress Test. This is likely to include both statistical models and non-statistical financial models, and will involve some computer programming.
    • Documentation of reasoning, concepts and rationales in support of forecasts and model results. Written communication should be clear, concise, and accurate.
    • Independent model testing including evaluation of mathematical soundness, developmental evidence, historical performance, statistical testing, back testing, model benchmarking, and appropriate sensitivity analyses
    • An understanding of the accounting and reporting principles central to financial planning is important. Candidates must demonstrate the ability to apply these principles in concert with mathematical principles.
    • Full documentation of the model development process, any associated testing performed, any and all modelling assumptions (particularly management assumptions), and relevant control and governance processes surrounding the model.
    • Respond to model scrutiny and inquiries from both internal and external validators as well as federal regulators to ensure conceptual soundness, model accuracy, and robustness.
    • Teamwork is essential for the position. The ability to work with the Finance team to identify discrepancies and ensure data quality is very important.
    • Assist in data collection, extraction, scrubbing, validity and sanity checks, transformation, and validation for a variety of projects.
    • Present quantitative results clearly and concisely and display a capability to discuss statistical, financial, and quantitative concepts coherently.
    • Proactively identify opportunities for efficiencies and improvements to processes and controls.
    • This job features significant cross-departmental and senior management exposure and interaction. Strong communication and interpersonal skills are very important. The ability to explain complex data management techniques to the management team is also essential.
    • Maintain knowledge of changes in the regulatory environment to help the team manage the dynamism in the industry.
    • Perform duties & responsibilities specific to department functions & activities.
    • Additional responsibilities include: (1) adhering to and complying with the applicable, federal and state laws, regulations and guidance, including those related to Anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.) (2) adhering to Bank policies and procedures, (3) completing required training, (4) identifying and reporting suspicious activity to the AML Officer, and (5) knowing and verifying the identity of any customer(s) that enters into a relationship with the Bank.

     

    Qualifications

    KEY SKILLS, KNOWLEDGE AND ABILITIES:

    • Degree in analytics, statistics, actuarial science, engineering, economics, the hard sciences or a related field
    • Experience using regression techniques in a commercial setting.
    • Banking/finance experience is a plus but a candidate who can clearly articulate the transferability of out-of-industry skills will be considered
    • Ability to work effectively in both a team environment and independently, both with internal and external (partner) resources
    • Excellent communication skills, both verbal and written
    • Statistical skills and programming experience with languages like R and SQL
    • Ability to work with financial models in Excel and use Excel features like pivot tables and matching functions.

    MENTAL/PHYSICAL REQUIREMENTS:

    • Ability to learn and comprehend basic instructions; understand the meaning of words and respond effectively; and perform basic arithmetic accurately and quickly. 
    • Vision must be sufficient to read data reports, manuals and computer screens.
    • Hearing must be sufficient to understand a conversation at a normal volume, including telephone calls and in person.
    • Speech must be coherent to clearly convey or exchange information, including the giving and receiving of assignments and/or directions.
    • May be required to lift 25-50 lbs.
    • Position involves sitting most of the time, but may involve walking or standing for brief periods of time.
    • Must be able to travel in a limited capacity.

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