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Assistant Quant Trading Jobs in Oregon (NOW HIRING)

Sr Statistical Modeling Analyst

OR · On-site +1

$99K - $186K/yr

Provide value-added solutions for the enhancement of risk-return trade-off through the application ... Master's degree or foreign equivalent in a quantitative discipline such as statistics, math ...

Principal Product Manager

OR · On-site +1

$200K - $210K/yr

Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to ... Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative ...

... quantitative and qualitative information to check what our grantmaking might be missing, looking ... Our researchers assist in communicating our research findings to the public and our donors, and on ...

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Assistant Quant Trading information

What is the difference between Assistant Quant Trading vs Quant Trader?

AspectAssistant Quant TradingQuant Trader
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sAdvanced degrees (Master's or PhD) often preferred; strong programming and quantitative skills
Work EnvironmentSupportive, team-based, often in financial firms or hedge fundsHigh-pressure, independent decision-making, trading desks or proprietary trading firms
Employer & Industry UsageCommon in financial institutions, hedge funds, asset management firmsPrimarily in hedge funds, proprietary trading firms, investment banks

Assistant Quant Trading roles typically involve supporting quantitative trading teams with research, data analysis, and model testing, often requiring less experience and focusing on learning and assisting. Quant Traders are responsible for developing and executing trading strategies, making independent decisions, and managing risk, requiring advanced skills and experience. Both roles are integral to quantitative finance but differ mainly in responsibility level and independence.

What are the most commonly searched types of Quant Trading jobs in Oregon?

The most popular types of Quant Trading jobs in Oregon are:

What are popular job titles related to Assistant Quant Trading jobs in Oregon?

For Assistant Quant Trading jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Assistant Quant Trading jobs in Oregon look for?

The top searched job categories for Assistant Quant Trading jobs in Oregon are:

What cities in Oregon are hiring for Assistant Quant Trading jobs?

Cities in Oregon with the most Assistant Quant Trading job openings:

Sr Statistical Modeling Analyst

BECU

OR • On-site, Remote

$99K - $186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


BECU rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?
Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.
While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU.


You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.


PAY RANGE

The Target Pay Range for this position is $128,900.00-$157,500.00 annually. The full Pay Range is $99,900.00 - $186,400.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS - because people helping peoplestarts with supporting you

  • 401(k) Company Match (up to 3%)

  • 4% annual contribution to your 401(k) by BECU

  • Medical, Dental and Vision (family contributions as well)

  • PTO Program + Exchange Program

  • Tuition Reimbursement Program

  • BECU Cares volunteer time off + donation match

SUMMARY

The Sr Statistical Modeling Analyst is responsible for the development and management of statistically derived credit risk modeling used by the credit union for loan or deposit originations, account management, collections, loan loss forecasting, capital plans and stress testing. The Sr Statistical Modeling Analyst will manage statistical model development and implementation independently and through collaboration with stakeholders throughout the credit union.

RESPONSIBILITIES

  • Develop, re-develop, and calibrate statistical models using statistical analytical packages; including but not limited to: Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases. Support documentation and execution of statistical models under the direction of senior level peers and leadership.
  • Research and apply enhancements to existing suite of models to improve accuracy, partnering with senior level peers and leadership. Research statistical methods and apply enhancements to existing suite of models to improve accuracy. Scope includes Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and loan loss forecast models.
  • Collaborate with business partners and product management to help interpret model results and assess the appropriateness of statistical methods and models for addressing business questions and generating actionable insights. Provide value-added solutions for the enhancement of risk-return trade-off through the application of advanced analytical packages.
  • Participate in annual model reviews and performance testing.
  • Manage the data request and systems testing process. Gather and evaluate data for reliability and usability and research and apply data treatment methods.
  • Work with senior members of the team on all aspects of the advanced credit risk models development life cycle.
  • Participate in team meetings related to statistical model development.
  • Deliver regular reports of modeling results to include impacts of originations, servicing, collection, loss mitigation and asset liquidation strategies and performance.
  • Maintain a thorough knowledge relating to loan portfolio trends and composition, while analyzing and presenting model outputs.
  • Utilize data warehouse information, along with model results, to assist in the development of credit risk management credit risk strategies.
  • Identify opportunities for efficiency and effectiveness, including reporting requirements.
  • Develop and maintain statistical modeling documentation and change control documentation.
  • Perform other duties as assigned.

QUALIFICATIONS

  • Master's degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics required. Coursework in statistics at either the bachelor's, master's or PhD level required.
  • Minimum 3 years of functional experience in statistical modeling required including credit risk modeling experience in one or more of the following product areas: real estate secured loan products (mortgage, home equity), auto, credit card or commercial loan products.
  • Sound knowledge of statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis and time series methodologies, with experience developing and validating Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD) models required.
  • Knowledge of artificial intelligence (AI) and machine learning (ML) tools required.
  • Knowledge of three or more of the following statistical analytical packages required: SAS, Python, SQL and R.
  • Experience with statistical modeling for capital planning and stress testing preferred.
  • Experience with Comprehensive Capital Analysis Review (CCAR), Dodd-Frank Act Stress Testing (DFAST) and Basel Regulatory Capital Framework preferred.
  • Experience with modelling techniques including logistic regression, multivariate analysis, and Monte Carlo preferred.
  • Excellent analytical and problem-solving skills required.
  • Experience in verbal and written communication of complex statistical insights and implications to Credit Union strategy and value creation preferred.
  • Ability to interact with management officials at all levels, as well as other risk and model management personnel throughout the Credit Union required.
  • Ability to analyze and reconcile large volume of data so that it can be summarized and eventually used for management decisions required.
EEO Statement:


BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.


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