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Assistant Machine Learning Quant Jobs in Kansas (NOW HIRING)

City of Salina, KS

Administrative Assistant I

Salina, KS · On-site

$36K - $37K/yr

With continued support from experienced staff, the position offers a strong foundation for learning ... Equipment: • Adding machine, calculator, computer, copy machine, fax machine, printer, radio ...

Northland Family Care

Medical Assistant

Kansas City, KS · On-site

$18 - $21/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

Syndeo

2nd Shift Shot Peen Helper

Wichita, KS · On-site

$16 - $17/hr

... from machines * Mask and unmask parts per work instructions as needed * Assist with part ... Open to learning a new skill; shot peening * Dependable, team-oriented, and good communication ...

Syndeo

2nd Shift Shot Peen Helper

Wichita, KS

$16 - $17/hr

... from machines * Mask and unmask parts per work instructions as needed * Assist with part ... Open to learning a new skill; shot peening * Dependable, team-oriented, and good communication ...

Syndeo

2nd Shift Shot Peen Helper

Wichita, KS · On-site

$16 - $17/hr

... from machines * Mask and unmask parts per work instructions as needed * Assist with part ... Open to learning a new skill; shot peening * Dependable, team-oriented, and good communication ...

Huyett

CNC Swiss Lathe Machinist

Minneapolis, KS

$23.50 - $29.50/hr

Use CAD software as necessary to assist in program generation. * Edit programs to maximize ... Give detailed instructions and coaching to less experienced machine operators. * Interface with ...

TEKsystems

Software Architect

Topeka, KS · Hybrid

$127K - $170K/yr

Experience with AI / Machine Learning technologies and integration * Strong background in ... They assist with student loan reimbursement starting on Day 1 at $100/month, going all the way up ...

TEKsystems

Software Architect

Topeka, KS · Hybrid

$127K - $170K/yr

Experience with AI / Machine Learning technologies and integration * Strong background in ... They assist with student loan reimbursement starting on Day 1 at $100/month, going all the way up ...

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Assistant Machine Learning Quant information

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
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What job categories do people searching Assistant Machine Learning Quant jobs in Kansas look for? The top searched job categories for Assistant Machine Learning Quant jobs in Kansas are:
What cities in Kansas are hiring for Assistant Machine Learning Quant jobs? Cities in Kansas with the most Assistant Machine Learning Quant job openings:
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Infographic showing various Assistant Machine Learning Quant job openings in Kansas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Sr. Manager, Decision Science

Sr. Manager, Decision Science

TreviPay

Overland Park, KS

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options, TreviPay brings 40 years of experience serving leaders in manufacturing, retail and transportation.  
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment. 

Step into a high-impact role where your analytics shape real business decisions. At TreviPay, we're looking for a Sr Manager of Decision Science who is a data-driven risk expert who thrives on turning complex data into actionable insights. In this role, you'll influence credit and fraud strategy, pricing, and profitability-partnering cross-functionally to drive smarter decisions and fuel growth across our global fintech platform.
 
Responsibilities
  • Develop statistical models and other types of predictive models as appropriate to improve our risk position (both fraud and credit), pricing strategies, and profitability.
  • Support the creation of a Model Development Framework, documenting the approach the Risk Management team will use so that we incorporate a consistent, stable modeling process at Trevipay
  • Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.
  • Analyze customer usage, competitor pricing and market trends to increase market share and profitability.
  • Access, cleanse, and analyze relevant internal and external data to support the creation, monitoring, and improvement of effective B2B credit risk management and pricing strategy techniques across new account origination and existing account management.
  • Develop/enhance the Portfolio Risk Assessment reporting package detailing Key Risk Indicators, trends, and projections for presentation to the executive leadership team.
  • Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
  • Conduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.
  • Support Engineering and Product teams with resolution of roadblocks and interdependencies.
  • Support internal/external Data Scientists with subject matter expertise and clean, actionable datasets for the growth of predictive and advanced analytical capabilities.
 
Requirements:
  • Bachelor's Degree Required
  • Minimum 8 years of proven work experience in a highly analytical environment performing complex business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders.
  • Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
  • Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
  • Ability to extract, cleanse, merge and analyze data from varied internal and external sources.
  • Strong analytical and data simulation skills including SAS, Python, MS Excel, Tableau/Sisense, or similar analytical and reporting/data visualization packages.
  • Strong presentation skills and proficiency in MS Word and PowerPoint
  • Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
  • Ability to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
  • High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk
  • The ability to multitask in a fast-paced environment
  • Strong communication skills, both verbal and written
 
Preferred Qualifications:
  • Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study
  • Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles 
  • Statistical modeling experience (logistic regression, machine learning, SVM, and more)
  • Prior leadership/management experience
Why you will love working at TreviPay
  • Competitive salary
  • Paid parental leave
  • Generous paid time off
  • Medical, dental, vision, FSA, Life/AD&D, long and short term disability
  • 401K matching
  •  Employee referral program
At TreviPay we believe:
  • in saying yes to unique and challenging requirements
  • empowered team members are creative team members
  • our products make the customer's day just a little bit better
  • work/life balance makes us all more effective
TreviPay is an Equal Opportunity and Affirmative Action Employer.  We welcome all veterans and disabled applicants.
 
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact [email protected] to request an accommodation.
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