Would you like to be part of a company that is modernizing the traditional financial services industry? At Apex Clearing, we provide features and services that power many of today’s hottest stock trading applications. Processing millions of transactions each day, our systems simplify, automate, and facilitate access to financial markets for all. We are looking for a seasoned data scientist to build and test machine learning models on top of our rich, untapped data.


If you are passionate about harnessing data to design, build, and deploy creative models to address existing and novel problems, then this role is for you. You will play a fundamental role in pioneering the use of machine learning at Apex Clearing in critical areas such as cash transfers, price optimization, fraud detection, and risk management. Along the way, you’ll learn about the problem space and re-imagine existing solutions. Your work will interface with a number of back-end services, and you will be an important part of architecting a data landscape that facilitates the models you envision.


This is an opportunity to join and shape a newly-forming data science team in the exciting area of financial services, at a company renowned for innovation. You can have a huge impact here. There are a multitude of opportunities to drive the business forward by defining and formulating solutions using state-of-the-art deep learning and classic machine learning techniques.


This role reports directly to the Sr. Director of Data Science (who is based in Portland, OR) and works closely with engineers, product owners, analysts, and many others across the organization.


You can work out of one of our offices in Portland, Dallas, Chicago, New York, or Los Angeles, or you can be remote.


What you’ll do all day:

  • Design, develop, and validate machine learning models for use cases that solve problems in Apex Clearing’s financial services business.
  • Discover and leverage both internal and external data sources that support machine learning models and bring value to the company.
  • Write ETL pipelines to make data available for training and testing models both offline and in production.
  • Deploy, monitor, and maintain models in production.
  • Help establish technical expectations and processes for a growing data science team.
  • Help shape a presence and identity for data science at Apex Clearing and its parent company, PEAK6.


What you’ll need to succeed:

  • Advanced degree in a technical field (e.g., computer science, computer engineering, physics, statistics) preferred, but appropriate alternate experience considered.
  • Solid theoretical grasp of classic machine learning and deep learning models and algorithms, including the math behind them.
  • Professional experience with design, development, and deployment of machine learning solutions to real-life problems.
  • Strong proficiency and in-depth understanding of Python, including expert-level experience with some subset of the major Python ML/DL libraries (e.g., PyTorch, TensorFlow, scikit-learn, pandas, numpy).
  • Ability to navigate in a SQL environment (i.e., solid understanding of SQL).
  • Professional experience developing models in a distributed cloud computing environment.
  • (preferred) Professional experience developing ETL pipelines to support large-scale machine learning model training and productionization.
  • (preferred) Professional experience with MLops (productionization, monitoring, and maintenance).

Apply for this Job

* Required


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Apex Clearing are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Form CC-305

OMB Control Number 1250-0005

Expires 1/31/2020

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

Because we do business with the government, we must reach out to, hire, and provide equal opportunity to qualified people with disabilities1. To help us measure how well we are doing, we are asking you to tell us if you have a disability or if you ever had a disability. Completing this form is voluntary, but we hope that you will choose to fill it out. If you are applying for a job, any answer you give will be kept private and will not be used against you in any way.

If you already work for us, your answer will not be used against you in any way. Because a person may become disabled at any time, we are required to ask all of our employees to update their information every five years. You may voluntarily self-identify as having a disability on this form without fear of any punishment because you did not identify as having a disability earlier.

How do I know if I have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Blindness
  • Deafness
  • Cancer
  • Diabetes
  • Epilepsy
  • Autism
  • Cerebral palsy
  • Schizophrenia
  • Muscular dystrophy
  • Bipolar disorder
  • Major depression
  • Multiple sclerosis (MS)
  • Missing limbs or partially missing limbs
  • Post-traumatic stress disorder (PTSD)
  • Obsessive compulsive disorder
  • Impairments requiring the use of a wheelchair
  • Intellectual disability (previously called mental retardation)
Reasonable Accommodation Notice

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.