Senior AI Innovation Specialist - Finance $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks ($50 USD/hour)
Not accepting applications on crossover.com at this time.
Description
Are you a seasoned finance professional with a passion for generative AI? At IgniteTech, we are transforming the way software companies do finance. In this role, you will lead the charge in integrating GenAI tools to revolutionize financial decision-making, boost revenue, and enhance customer engagement.
Our commitment to leveraging cutting-edge AI sets us apart from the rest of the software industry. Imagine being at the forefront of this wave, developing and integrating AI-powered predictive models to forecast trends, manage risks, and uncover investment opportunities. You will use AI to automate financial processes, making them more efficient, accurate, and compliant. Your work will include designing custom AI tools tailored to the financial sector’s needs, from fraud detection to credit scoring, and generating actionable insights from vast data sets to drive strategic decisions.
This role is designed for those who thrive on innovation and problem-solving. If you are passionate about pushing the boundaries of what AI can do in finance and enjoy tackling complex challenges, this position will provide you with an unparalleled opportunity to make a significant impact. You will lead the development of financial predictive models, optimize financial processes, design bespoke AI solutions, and analyze financial data to generate strategic insights, all while working with a team that values excellence and cutting-edge technology.
This role is not for those who prefer a routine, predictable work environment. If traditional financial methods and a slower pace suit you better, you might find the dynamic and transformative nature of this position challenging. But if you are driven by the thrill of leading AI-driven change and redefining the future of finance, we encourage you to apply.
What you will be doing
- Financial Predictive Analytics Implementation: Lead the development and integration of AI-powered predictive models to forecast financial trends, manage risks, and identify investment opportunities, aligning with the company's strategic financial goals.
- Financial Process Optimization: Utilize AI to automate financial processes such as budgeting, accounting, and reporting, ensuring they are more efficient, accurate, and compliant with regulatory standards.
- Financial Data Analysis and Insight Generation: Harness AI to analyze vast amounts of financial data, providing actionable insights that drive strategic decision-making and operational improvements in the financial domain.
What you will NOT be doing
- Manual corporate finance tasks, such as sending invoices or building financial models. This role is focused on automating these tasks.
Key responsibilities
- Implement AI tools to improve financial decision-making, increase revenue, and enhance customer financial engagement
Candidate requirements
- At least 5 years of operational finance experience in the software industry
- Professional experience developing and implementing AI solutions, with a clear track record of impactful projects and innovations in the finance sector
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
