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Senior Quantitative Analyst
Senior Quantitative AnalystTD Bank • Toronto, Ontario, Canada
Senior Quantitative Analyst

Senior Quantitative Analyst

TD Bank • Toronto, Ontario, Canada
Il y a 9 jours
Type de contrat
  • Temps plein
Description de poste

Work Location :

Toronto Ontario Canada

Hours : 37.5

Line of Business :

Analytics Insights & Artificial Intelligence

Pay Details : 76800 - 115200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.

As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description :

The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators increasing attention on model risk. The Retail model validation team within MV is responsible for the vetting and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail and trading products as well as to review validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.

Job Description :

The position reports to Senior Manager Retail Credit Risk Model Validation

  • Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for projecting RWA capital (PD / LGD / EAD) Pre-Provision Net Revenue (PPNR) estimates for stress testing (DFAST EWST) purposes adjudication / management / collection for various retail products marketing and analytics etc.
  • Develop independent benchmarks for use in the validation of the above listed models. These benchmark models could be supervised learning unsupervised learning and deep learning algorithms. Assess the appropriateness of the model for its specific use reasonableness of the model assumptions and the accuracy of the model implementation.
  • Prepare detailed reports describing the mathematical analytics of the model validation techniques employed test results obtained and any model limitations noted.
  • Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
  • Establish and maintain productive working relations with internal model development groups such as US and CAD Retail Model Development Financial Stress Testing (FST) etc. as well as external vendors who have developed customized models for TD.
  • Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models / techniques for risk management as industry standards evolve and regulatory requirements change.
  • Stay current in knowledge of credit risk management methodologies predictive modeling and statistical analysis.

Requirements and / or qualifications :

  • Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas : statistics economics finance mathematics computer science and engineering.
  • 3-5 years of experience with model development / validation including machine learning models dealing with PPNR stress testing scorecard and / or capital models
  • Hands-on experience with relevant programming languages such as Python SAS R is a must
  • Knowledge in retail banking products customer behaviours and macroeconomic impacts is a definite asset
  • Excellent verbal and written communication skills
  • Good time management and multitasking skills
  • Quick learner who grasps new concepts and techniques quickly
  • Must be a good team player
  • Who We Are :

    TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches / stores. Every day we deliver legendary customer experiences to over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

    TD is deeply committed to being a leader in customer experience that is why we believe that all colleagues no matter where they work are customer facing. As we build our business and deliver on our strategy we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether youve got years of banking experience or are just starting your career in financial services we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs were here to support you towards your goals. As an organization we keep growing and so will you.

    Our Total Rewards Package

    Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well-being goals. Total Rewards at TD includes a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

    Additional Information :

    Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

    Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.

    Colleague Development

    If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and were committed to helping you identify opportunities that support your goals.

    Training & Onboarding

    We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

    Interview Process

    Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

    Accommodation

    Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

    We look forward to hearing from you!

    Language Requirement (Quebec only) :

    Sans Objet

    Required Experience :

    Senior IC

    Key Skills

    Splunk,IDS,Microsoft Access,SQL,Cybersecurity,Intelligence Experience,Malware Analysis,Tableau,Analysis Skills,SAS,Data Analysis Skills,Analytics

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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