Machine Learning Data Engineer

2 weeks ago

Overland Park, United States CareerBuilder Full time

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.

This role consolidates and prepares data from disparate data sources and types to enable the data users (Data Scientists, Analysts, BI Analysts, etc) within Credit Risk to build AI/ML/DL algorithms and to aid in the attainment of effective business decisions. This role will monitor data quality incorporating ML approaches.

Responsibilities

Consolidate, integrate, and cleanse internal and external data for AI, ML, ML-Ops, reporting, and general analytics for the Credit Risk team
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 (e.g., credit line management, renewals, suspensions, pricing strategies, preapprovals, collections, roll rate analysis/loss provisioning, and fraud mitigation)
Monitor and report the validity of the data, and actively seek solutions to mitigate and detect variance, outliers, and unusual patterns in the data, and its capturing processes and systems. Suggest solutions to address the issues that may arise.
Deliver, generate, and communicate advanced data models and data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results on data and its processes(data management, governance procedures, maintenance, validation)
Become the data SME in the areas of data collection, storage, and access for Credit & Risk and support the internal/external needs of the business
Prepare the data for the growth of predictive and advanced analytical capabilities which include machine learning, artificial intelligence, and deep learning
Conduct statistical and non-statistical data explorations, data validations, and identify/address data-related business issues

Requirements

Bachelors Degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or Statistics
7+ years of proven work experience in a highly analytical environment, preferably in payment services and/or banking, performing complex analyses, generating data-driven insights, and presenting findings to leadership and other stakeholders
Strong SQL (write queries optimally and familiarity with complex calculations), with knowledge of RDBMS, and advanced data modeling
Ability to build data and data relationships for routine analyses, real-time ML transactions, and ML reporting
Ability to extract, cleanse, merge, and analyze data from varied internal and external sources
Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
Strong analytical and data engineering skills using SQL, Python, R, SAS, Tableau/Sisense, or similar tools
Strong presentation skills with proficiency in MS Word and PowerPoint
Strong requirements-gathering and process/project documentation skills
Comfortable in analyzing and questioning the validity of data and suggesting process improvements
Ability to make the best of ambiguity and be flexible enough to shift workload in accordance with changing priorities.
Strong communicator with the ability to tell a story by creating clear, concise graphs, charts, reports, and presentations summarizing results and justifying suggested improvements
High-performing contributor with the ability to collaborate cross-functionally with management, product, technology, compliance, and enterprise risk teams
The ability to multitask in a fast-paced environment
Str ong communication skills, both verbal and written

Preferred Qualifications

Bachelors and/or Masters Degree in Mathematics, Physics, Engineering, Computer Science, Data Science, Statistics with a business or economics focus
Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
Strong SQL scripting, advanced data modeling, data management with clear understanding of back-up, recovery and archiving processes and strategies
Anomaly detection in ML/AI applied to data detection and data systems diagnoses
Prior leadership/management experience is a plus

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 customers 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 Recruiting@trevipay.com to request an accommodation.
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