Market Research Consultant

Wells Fargo
Bangalore, India
Sep 20, 2019
Sep 23, 2019
Industry Sector
Finance - General
Employment Type
Full Time
Wells Fargo & Company (NYSE: WFC) is a leading global financial services company with $2.0 trillion in assets and offices in over 37 countries. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides asset management, capital raising and advisory, financing, foreign exchange, payments, risk management, and trade finance services to support customers who conduct business in the global economy. At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We also value the viewpoints of our team members and encourage them to be their best. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Learn more at our International Careers website .

Market Job Description

The Position
The Fiduciary & Investment Risk Oversight Group (FIRO), within Corporate Risk, is responsible for independently overseeing a broad collection of activities and risk types. The Senior Quantitative Risk Analyst is a subject matter expert for quantitative research and analysis of investment risk exposures across WFC's fiduciary and investment management businesses. He or she is expected to use advanced statistical and econometric methods to evaluate WFC's fiduciary and investment risk exposures, to identify and assess effectiveness and gaps of investment management and risk management processes and controls, and to provide credible challenges for enhancing and fortifying existing investment and risk management processes.

Position Responsibilities
Responsibilities of this position include, but are not limited to:
  • Provide quantitative Fiduciary and Investment (F&I) risk oversight over investment management methodology, process, controls, as well as client outcomes in Wells Fargo's fiduciary and investment businesses with a focus on Wells Fargo Advisors, Wealth Management and Wells Fargo Asset Management.
  • Develop models or risk metrics to identify and assess new and emerging quantitative risks in investment management and risk management processes and controls. Develop forward looking risk indicators (alpha models and beta models) at asset class, factors, and cross-sectional security level to evaluate new, emerging, and long-term F&I risk exposures in client investment accounts and portfolios.
  • Develop models to analyze and evaluate portfolio construction methodologies used in client investment account/portfolio management process for identifying and assessing the effectiveness and gaps in investment management and risk management processes and controls.
    • Develop and implement models, quantitative risk metrics, and relevant reports to assess and monitor F&I risk exposures in client investment objective alignment, asset allocation decision, client account review and rebalance activities, account investment decisions, investment product suitability, investment product sales, and other F&I risk exposures related to the services provided by financial advisors and investment managers.
    • Develop methodology, models, and risk metrics to assess and monitor fiduciary and investment product concentration risks, liquidity risks, and other idiosyncratic risks in clients' accounts. Conduct risk trend and outlier analysis.
    • Conduct industry wide surveillance on new trend and development of investment methodologies, models, and related risk management practices, and assess the long term risk impact to Wells Fargo business and clients.
    • Develop methodology and models to quantitatively assess investment product risk and complexities, and assess product suitability risks in various client, financial advisors, and broker segments.
    • Aggregate and analyze fiduciary and investment risks across client segments, financial advisor segments, account type segments, analyze risk outlier and trends as related to F&I risk exposures, and provide quantitative insights to new and emerging F&I risk issues.
    • Provide credible challenges to frontline businesses related to fiduciary and investment risk exposures in investment objective alignment, asset allocation, portfolio concentration, liquidity, and idiosyncratic risk.
      • Ba s ic Q u alific a t i o n s
      • 6+ years of experience in an advanced scientific or mathematical field specifically to include experience focused on quantitative research and modeling in a financial services environment;
      • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science.

Market Skills and Certifications

Position Requirements:

Responsible for performing the most highly complex activities related to creation, implementation, documentation, articulation and defense, and on-going maintenance of the most complex models grounded in highly complex statistical theory used to quantify, analyze and manage investment, credit, counterparty and operational risks or to forecasts losses and compute capital requirements.
  • Implement innovative, creative, and automated solutions utilizing investment software tools and quantitative research to provide robust fiduciary and investment risk oversight on funds and accounts managed throughout the WFC fiduciary and investment management complex.
  • Work proactively with frontline risk managers, utilizing research/quantitative models to develop and apply in-depth knowledge of investment management philosophy, processes, disciplines, strategies, and controls in order to understand performance and risk drivers, sources of performance variance, and risk outlier in portfolios and accounts;
  • Work with data architecture and technology team member to define the business requirements for both internal and external data needed for fiduciary and investment risk oversight, and provide business expertise and guidance to the data architecture and technology team members to develop and implement data and technology infrastructure for fiduciary and investment risk management and oversight.
  • Support and utilize quantitative and qualitative methodologies and data produced by team analysts to measure, monitor and report on fund/portfolio performance and risk. Utilize both returns-based and holdings-based analysis reports (e.g. Bloomberg, BarraOne, Barclays Point, and FactSet)

Desired Q u alific a t i o n s
In addition to the basic qualifications, the successful candidate will have:

  • Expert knowledge in financial advisor, wealth management, and retail brokerage industry, particular in the areas of financial advisors' and wealth management's client engagement models, client risk profile assessment process, client investment objective assignment, various lifecycle investment methodologies and models, strategic asset allocation, cyclical and tactical asset allocation, client investment portfolio management, and investment risk management and performance measurement.
  • Expert knowledge in data elements, data relationships and data structures related to financial advisors, client investment managers, client account, and client investment portfolios, investment products and vehicles, and other related data.
  • Understand the investment risk management methodology in general and investment risks unique to financial advisors, wealth management, and retail brokerage world. Experience in risk management practices for trading and portfolio management businesses (defining, identifying, evaluating, measuring, managing and reporting market risk exposures);
  • Passionate interest and curiosity in understanding financial markets with a strong quantitative orientation for investment and risk management;
  • Organized, disciplined, and the ability to make complex ideas or issues simple to senior management via verbal and visual communications;
  • Proven skills of multitasking, time management, and project management and execution;
  • Hands-on skills and knowledge of investment tools and platforms such as Bloomberg, MSCI/Barra, FactSet, Morningstar, and etc.;
  • In depth and practical knowledge of statistical modeling techniques, machine learning, and big data.
  • Experience in SQL database query and data management. Experience in math/stat packages such as Matlab, R, and SAS as well as generic programming languages and tools such as Python, VBA, Java, C#/.NET, and/or C/C++;
  • Ph.D. in a quantitative discipline;
  • CFA and/or FRM.
  • Location: Bangalore
  • Timings: 12:30pm to 9:30pm

We Value Diversity

At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate.