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Remote Machine Learning Finance Jobs in Covington, GA

Remote #LI-Remote The selected candidate can be remote, based in the United States. Our Team ... Manage Risk and Financial Oversight: Monitor client financial status and report changes regarding ...

Review financial ratios * Start to work independently with minimal review on work performed ... Grow professionally in an environment that fosters continuous learning and advancement ...

Prior tax return or financial statement preparation and review experience * Consulting experience ... Grow professionally in an environment that fosters continuous learning and advancement ...

The work model for this role can be remote in the United States. Your role and responsibilities ... Collaborate with operation, legal and finance teams to finalize agreements. Our Team Dynamics Our ...

Remote Machine Learning Finance information

See Covington, GA salary details

$21.2K

$78.6K

$115K

How much do remote machine learning finance jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning finance in Covington, GA is $78,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $92,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Finance professional, and why are they important?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What cities near Covington, GA are hiring for Remote Machine Learning Finance jobs? Cities near Covington, GA with the most Remote Machine Learning Finance job openings:

Outside Sales Representative

Shield Financial

Lithonia, GA โ€ข Remote

Other

Posted 5 days ago


Job description

This position is an exciting, fully part-time remote Life Insurance Agent role for individuals seeking a flexible and rewarding career that can be done from the comfort of their own home.


We are looking for a self-motivated, results-driven sales professional to engage with potential customers and provide tailored life insurance solutions that meet their needs. In this role, you will have the independence to manage your schedule, with access to daily training and support from some of the top producers in the company.

Key Responsibilities:

  • Lead Generation & Prospecting: Leverage our exclusive platform to connect with individuals who have shown interest in our life insurance products, allowing you to focus on engaging and serving your clients.
  • Client Engagement: Present and promote life insurance solutions by conducting thorough needs assessments, helping clients make informed decisions that align with their financial goals and insurance requirements.
  • Relationship Building: Develop and nurture long-term relationships with clients through regular follow-ups and ongoing support, ensuring customer satisfaction and retention.
  • Training & Development: Participate in live, company-wide coaching sessions and gain hands-on experience from top-performing virtual sales reps, accelerating your learning and growth.
  • Sales Tracking: Utilize advanced tools to maintain accurate records of sales, client interactions, and progress toward individual goals.
  • Compliance: Ensure all activities comply with regulatory standards and company policies, safeguarding client information and upholding ethical practices.

Qualifications:

  • Highly motivated with a goal-oriented mindset and the ability to work independently.
  • Strong communication and interpersonal skills to establish trust and rapport with clients.
  • Excellent time management, organizational, and prioritization skills.
  • Ability to offer solutions that address client concerns and fit within their budget.
  • Ability to build lasting relationships and a willingness to receive constructive feedback.
  • Previous industry experience is a plus but not required.
  • Must be willing to obtain a life insurance license (training and support will be provided).

Benefits:

  • Competitive compensation, including one of the most attractive commission and bonus structures in the industry.
  • Comprehensive training through live sessions, online resources, and mentorship from top producers.
  • A supportive and dynamic work environment focused on professional development.
  • Opportunities for career growth, including the ability to build and lead your own team.

Compensation:

  • Earnings are based on the average performance in current markets.
  • Monthly performance-based bonuses.
  • Residual income paid on the anniversary of each clientโ€™s policy.


Join our team today and start your path toward a fulfilling and flexible career in life insurance!