WHO WE ARE
Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers.
Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. We are based in Dallas, TX and also have offices in Austin, New York, Chicago, Portland, and Belfast.
If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you.
AFS has received a number of prestigious industry awards, including:

• 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards
• 2021 Most Innovative Companies - presented by Fast Company
• 2021 Best API & Best Trading Technology - presented by Global Fintech Awards

ABOUT THIS ROLE
We are looking for a technical, execution-minded leader for the Machine Learning team. The Manager, Machine Learning is responsible for leading our team of data scientists and ML engineers. This team is primarily responsible for creating new data products from the billions of financial transactions at Apex. These products range from fraud detection algorithms to applying LLMs models to improve operational efficiency.
You will report to and work closely with Vice President, Data responsible for this initiative, and work alongside product managers, business stakeholders and engineering teams across the organization.
If you are passionate about harnessing data that allows the business to make thoughtful decisions, then this role is for you.
Duties/Responsibilities:

• Create an environment for data scientists to explore new ideas and build industry-leading models
• Oversee the design, development, and deployment of machine learning models, algorithms, and related products/services
• Work and communicate with stakeholders across Apex to identify key business problems and opportunities.
• Hire, develop, and lead a collaborative and high-performing team.
• Follow and communicate the latest advancements in machine learning, artificial intelligence, and related fields to keep our practices and technologies at the cutting edge.
• Manage the end-to-end machine learning project lifecycle, from problem definition and data collection to model deployment and performance monitoring and client feedback loop.
• Foster an environment of continuous learning and development within the team.

Education and/or Experience

• Bachelor's degree in a quantitative field like data science, statistics, math, physics, or engineering discipline, or equivalent work experience; Master's or PhD in a quantitative field is preferred
• 5+ years building ML solutions using Spark, TensorFlow, PyTorch, scikit-learn, or similar
• 5+ Python and SQL experience
• 3+ years managing people in digital or technology-focused companies
• Experience managing teams developing and launching data products using cloud technologies (GCP, AWS, Azure)
• Proven track record of leading functional groups, defining, documenting, delivering and measuring value

Required Skills/Abilities:

• Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment with uncertain variables
• Familiarity with Agile methods and SaaS deployments

Work Environment:

• This job operates in an office environment.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
#engineering #mid-senior #full-time #LI-JA1 #APEX
Our Rewards
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.
Diversity, Equity, Inclusion, and Belonging (DEIB) Commitment
We're looking for all kinds of people.
At Apex, we believe that wealth management and investing should be accessible to everyone, and we strive to create spaces to democratize investing for folks of all walks of life. Internally, we embrace diversity and are dedicated to creating an inclusive and equitable workplace, which reflects our company vision and mission. We value every team member's unique perspective and are committed to fostering a culture where everyone belongs. Join us in our mission to empower and celebrate individual differences.
Apex is committed to being an equal opportunity employer. We ensure that qualified applicants receive fair consideration for employment without discrimination based on sex, gender identity, gender expression, sexual orientation, race, color, natural or protective hairstyle, genetics, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Know your rights: workplace discrimination is illegal. We stand by this commitment to promote a diverse, equitable, and inclusive workforce.