{"id":1244557,"url":"https://alion.io/job/rbc-senior-quantitative-engineer","title":"Senior Quantitative Engineer","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":300},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Django","optional":false},{"name":"Flask","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-26T20:03:09Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Job Description\nWhat is the Opportunity?\nThis position is responsible for developing logic-intensive components of the digital wealth management platform. Works on computational libraries, as well as API services that interact with those libraries and other parts of the platform. The core focus for the position will be on implementing software used in portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment modelsused in developing a wealth management platform.\nWhat will you do?\nDevelop software for quantitative and portfolio management using Python\nDesign/test/maintain/improve the core trading and research applications being developed\nDevelop code to extract data from various sources to support development of the models\nCollaborate with team on best practices\nConduct research on portfolio optimization, perform back test and implement trading models\nWhat do you need to succeed?\nMust have:\n5+ years of software development in a quantitative finance area\n3+ years of professional experience building large scale applications/APIs in Python\nBachelor's degree in Economics/Finance/Mathematics, Computer Science, Statistics or other relevant discipline or equivalent experience.\nStrong knowledge of quantitative concepts, including applied statistics\nExperience using analytics libraries and frameworks such TensorFlow, scikit, NumPy\nStrong problem-solving skills\nKnowledge of (or interest in) personal finance/economics\nExperience with algorithm design or development\nExperience working with RESTful APIs\nExperience with Python API frameworks like Django, Flask\nNice to have\nMaster’s degree or Ph.D. Preferred.\nExperience with Cloud (AWS or Azure) and containerization is a big plus\nExperience in financial services preferred\nExperience developing financial models in behavioral finance or wealth management\nFamiliarity with and ability to apply the following concepts to solve data problems; natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modelling and hypothesis testing\nWhat’s in it for you?\nWe thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.\nA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable\n\nLeaders who support your development through coaching and managing opportunities\n\nAbility to make a difference and lasting impact\n\nWork in a dynamic, collaborative, progressive, and high-performing team\n\nOpportunities to do challenging work\n\nOpportunities to take on progressively greater accountabilities.\n\nJob Skills\nCommunication, Critical Thinking, Detail-Oriented, Financial Instruments, Investment Banking Analysis, Investments Analysis, Personal Development, Personal Initiative, Quantitative Methods, Risk ManagementAdditional Job Details\nAddress:\n180 WELLINGTON ST W:TORONTOCity:\nTorontoCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-09-04Application Deadline:\n2026-09-21Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.","description_format":"text","description_chars":4774,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T17:06:06Z"},{"event":"close","at":"2026-09-25T17:07:52Z"},{"event":"reopen","at":"2026-09-25T19:08:09Z"},{"event":"close","at":"2026-09-26T07:48:32Z"},{"event":"reopen","at":"2026-09-26T20:03:09Z"}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.609,"p_room":0.35,"age_days":15,"expected_fill_days":7,"reasons":["conf:3","win:tail","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rbc-senior-quantitative-engineer","json_url":"https://alion.io/job/rbc-senior-quantitative-engineer.json","meta":{"generated_at":"2026-09-27T03:12:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2939,"day_limit":5000,"remaining_today":2061,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}