Hiring asset and wealth management software developers through Ryz gets you senior engineers who understand portfolios, positions and the controls around them. They are top 1% of the engineers we interview, they work on your team and in your repos, and they work New York hours. For AI in compliance, research or client service, we staff dedicated AI pod teams that build in your cloud.
Investment firms run on data that has to be right at specific moments: positions before the open, NAVs at the close, performance at month end and every client communication before it goes out. Asset managers, hedge funds, RIAs, wealth platforms and fund administrators need engineers who respect those deadlines and controls. Our engineers work on:
One of our AI pod teams built AI marketing compliance review for a global capital management firm. It has processed more than 8,000 documents and cut review time from days to hours. Read more on our case studies page.
Ryz does not provide regulatory certification or legal advice. Our engineers have experience working within these rules and build alongside your compliance and operations teams.
Staff augmentation fits firms with an established technology team that needs more senior depth: a data engineer for the investment data platform, a Python developer for performance analytics or a Salesforce developer for the advisor desktop. They work in your squads and change-control processes.
An AI pod team fits a defined AI system, such as marketing compliance review, RFP and due diligence questionnaire drafting, research summarization or a client-service assistant. The pod is a dedicated team, often around seven senior engineers including a tech lead, an ML engineer and backend engineers, that builds in your cloud with weekly demos and keeps people in charge of every decision that matters.
Ryz is not the right fit if you want a management-consulting engagement on operating model or strategy, or a proprietary AI platform to license. We supply engineering teams that build in your environment.
Many senior Latin American engineers have worked on investment, trading and wealth platforms for US and global firms, often in data-heavy roles where accuracy and auditability matter more than speed. Strong Python, SQL, Java and .NET skills are common, which matches how most investment technology stacks are built.
Markets keep New York hours, and so do our engineers. They can fix a failed overnight reconciliation before the open, join morning meetings with portfolio managers and support month-end reporting in real time.
Yes. We have built it in production for a global capital management firm. A pod scopes it around your review rules, approval flows and record-keeping requirements.
We match on it. Tell us whether you need trading, portfolio accounting, performance or client reporting experience, and we shortlist engineers who have built it.
$7,000 to $15,000 per engineer per month, scoped per team. Before you sign, you get a plan, a price and the names of the people who would do the work.
Our engineers work on your team, reporting to your own leads. They work on US business hours. Talk to us to scope the team you need.
No. Financial services is one of many industries we serve, along with healthcare, logistics, SaaS, real estate and others.
Questions we didn't answer? Email info@ryzlabs.com.