Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better.
We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Role Overview
2 Openings available for senior and mid-level MLOps Engineers.
We seek an innovative and forward-thinking ML Ops Engineer specializing in Model Risk Management & Governance. This role is designed for someone who thrives on the intersection of technical excellence and strategic insight and is capable of navigating the complexities of machine learning models while ensuring robust governance and risk management protocols are in place. You will be part of a dynamic team tasked with developing, implementing, and maintaining a centralized model governance framework that ensures compliance, consistency, and efficiency across all model modules.
Responsibilities:
- Collaborate closely with clients to deeply understand their business challenges, translating these into actionable business problems that machine learning models can solve.
- Lead the creation and implementation of a comprehensive model governance framework that standardizes processes for model development, validation, monitoring, and documentation.
- Establish standardized documentation templates and explore automation possibilities to streamline documentation processes at various levels, ensuring efficient capture of model metadata related to data quality, design, validation, performance testing, risk mitigation, and compliance.
- Establish Model Governance, Model Data Management (Data Collection, Data Quality, Data Privacy), Monitoring, Documentation, Reporting, Risk Management, Continuous Improvement.
- Work alongside cross-functional teams to identify, assess, and mitigate risks associated with model performance and compliance, ensuring alignment with business objectives and regulatory requirements.
- Develop processes for continuous monitoring and performance testing of models, identifying opportunities for improvement and innovation within the MLOps ecosystem.
Skills Needed:
- Bachelor’s / Master’s degree in Engineering, Business, Economics/Statistics, or equivalent field.
- Minimum of 5+ years of relevant experience in financial services, insurance, or a related industry, with a strong foundation in analytics, model governance, risk management, and compliance.
- Demonstrated ability to apply analytical/logical thinking skills to solve complex problems and drive innovative solutions.
- Proficiency in programming languages such as Python, R, or Scala; familiarity with automation tools for documentation; and experience with model development, validation, monitoring, and documentation processes.
- Understanding of NLP Models, NLP Model Governance.
- Exceptional communication skills, capable of presenting complex concepts to senior leadership/executives and collaborating effectively with cross-functional teams.
- A proven track record of innovative thinking, inspiring action within teams, and demonstrating leadership in driving governance and risk management initiatives.
- Understanding of industry regulations and compliance requirements, with experience developing and implementing governance policies and procedures.
Other Requirements:
- Ability to be present at the client office for at least 4 days a week.
- Openness to travel up to 25% of the time to meet business needs.
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $125,000 - $175,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
