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Raymond James Financial Services Software Engineer Interview Guide

Raymond James Financial Services Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

A Software Engineer at Raymond James Financial Services plays a critical role in bridging the gap between complex financial services and cutting-edge technology. Unlike traditional tech firms, the primary "clients" of the technology teams here are thousands of independent financial advisors and wealth management professionals. The systems you build, optimize, and maintain directly enable these advisors to manage billions of dollars in client assets, execute trades, analyze market data, and maintain regulatory compliance. You will work on high-availability backend services, advisor-facing portals, and data pipelines that handle massive volumes of financial transactions. The engineering culture balances the rapid adoption of modern technology with the rigorous security, reliability, and compliance standards required by the financial sector.

This guide is scoped to a Software Engineer candidate at Raymond James Financial Services.

Focus areas

  • Java
  • API Development / APIs
  • SQL

The Raymond James Financial Services interview process

Raymond James Financial Services candidates report 2 rounds over 2-4 weeks. The stages below are what candidates describe, not a published process.

Digital Video Interview

Initial one-way video interview consisting of six pre-recorded behavioral questions to assess communication skills and culture fit.

What to demonstrate

  • Initial one-way video interview consisting of six pre-recorded behavioral questions to assess communication skills and culture fit
  • Depth in Java

How to prepare

  • Answer aloud and timed: Explain the difference between an interface and an abstract class in Java, and when you would use each.
  • Answer aloud and timed: How do you handle exception handling and transaction management in a Spring Boot application?

Live Technical Interviews

Series of live technical and managerial interviews focusing on coding, system design, and past project experience.

What to demonstrate

  • Series of live technical and managerial interviews focusing on coding, system design, and past project experience
  • Depth in Java

How to prepare

  • Answer aloud and timed: Explain the concept of dependency injection and how it improves code maintainability.
  • Answer aloud and timed: How do you design a secure, RESTful API that can handle high-throughput financial data?

Where candidates lose points

Master the One-Way Video Interview

Treat the initial digital interview with the same professionalism as a live round. Dress professionally, ensure your lighting and audio are clear, and practice delivering concise, structured behavioral answers using the STAR method (Situation, Task, Action, Result) within the 1-minute limit.

For the one-way video interview, you are often allowed to re-record your answers

Use this opportunity to refine your delivery, ensure your answers are concise, and clearly highlight how your past experience aligns with the company's client-first values.

Brush Up on SQL and SDLC

Do not focus solely on coding algorithms. Many candidates are surprised by the depth of SQL query writing and database design questions they face. Additionally, be prepared to walk through every stage of the SDLC, explaining how you ensure code quality and security at each step.

Understand the "Advisor" Business Model

In your interviews, show that you understand that Raymond James Financial Services is a client-centric organization where the "clients" are independent financial advisors. Frame your past projects around how your work improved the end-user experience, solved business pain points, or saved operational time.

Questions & practice

What are the differences between optimistic and pessimistic locking, and how do they apply to concurrent trans

Medium · Java & Backend Development

What are the differences between optimistic and pessimistic locking, and how do they apply to concurrent transactions?

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Walk through the process of searching a binary search tree (BST) and explain its time complexity.

Medium · Algorithms & Data Structures

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

How would you detect a cycle in a singly linked list?

Medium · Algorithms & Data Structures

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Given an array of transaction values, write an algorithm to find the maximum profit possible from buying and s

Medium · Algorithms & Data Structures

Given an array of transaction values, write an algorithm to find the maximum profit possible from buying and selling a stock.

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Explain the difference between depth-first search (DFS) and breadth-first search (BFS) and when to use each.

Medium · Algorithms & Data Structures

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

How do you optimize the space complexity of a recursive algorithm?

Medium · Algorithms & Data Structures

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Write a SQL query to find the second-highest financial transaction amount for a specific advisor account.

Medium · Database Engineering & SQL

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. Handle the rows that do not match: that is usually the actual question.

Follow-up

  • How does the query change if that join becomes one-to-many?
  • What happens to this when the table is ten times larger?

What is database normalization, and when would you intentionally denormalize a database schema?

Medium · Database Engineering & SQL

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. Handle the rows that do not match: that is usually the actual question.

Follow-up

  • How does the query change if that join becomes one-to-many?
  • What happens to this when the table is ten times larger?

How do you optimize a slow-running SQL query that involves multiple table joins?

Medium · Database Engineering & SQL

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. Handle the rows that do not match: that is usually the actual question.

Follow-up

  • How does the query change if that join becomes one-to-many?
  • What happens to this when the table is ten times larger?

Explain the difference between an interface and an abstract class in Java, and when you would use each.

Medium · Java & Backend Development

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

Explain the concept of dependency injection and how it improves code maintainability.

Medium · Java & Backend Development

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

How do you design a secure, RESTful API that can handle high-throughput financial data?

Medium · Java & Backend Development

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Explain the differences between clustered and non-clustered indexes and their impact on write performance.

Medium · Database Engineering & SQL

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

How do you ensure ACID properties are maintained across distributed databases?

Medium · Database Engineering & SQL

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

How do you design a deployment pipeline using CI/CD practices for an application hosted on AWS?

Medium · Cloud Infrastructure & SDLC

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

What AWS services would you choose to build a serverless, event-driven data processing application?

Medium · Cloud Infrastructure & SDLC

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Walk me through the stages of the Software Development Life Cycle (SDLC) and your role in each stage.

Medium · Cloud Infrastructure & SDLC

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Listing latency scales with page size, not with filters

Easy · n+1 · latency · query batching

The tenant listing endpoint reads resource filtered by tenant_id and status, ordered by updated_at DESC, and returns each row plus the owner's display name from app_user and the actor of that resource's latest resource_revision. p99 is 55 ms at 10 rows per page and 1.4 s at 200. Database telemetry shows 401 statements per request, each under 1 ms, and nothing in the slow-query log. Diagnose the cause and give the fix, stating the statement count per request and the p99 you expect afterwards.

Approach

  1. Read the counters before forming a theory. 401 statements for 200 rows is one driver query plus two per row, and sub-millisecond execution with an empty slow-query log rules out a bad plan. The time is round trips, which is why it is invisible in every per-query metric and scales with rows returned rather than with filter selectivity.
  2. Name the two per-row statements from their normalised text: a single-row app_user lookup by user_id, and a resource_revision lookup by resource_id ordered by version DESC LIMIT 1. Confirm by dropping those two response fields and watching the statement count fall to one. That locates the calls in the serialisation layer, not the repository.
  3. Check that the arithmetic accounts for the whole gap. Measure one round trip to the replica in isolation; 400 trips at roughly 3 ms of network plus 0.2 ms of execution is about 1.3 s on top of a 55 ms baseline, which matches. If the multiplication had fallen short, the N+1 would only be part of the story and you would keep looking.
  4. Batch both lookups. Collect owner_user_ids and resource_ids from the driver query, then issue WHERE tenant_id = $1 AND user_id = ANY($2) for the users, and PostgreSQL's SELECT DISTINCT ON (resource_id) ... WHERE resource_id = ANY($2) ORDER BY resource_id, version DESC for the latest revision, which the UNIQUE (resource_id, version) index serves directly. On an engine without DISTINCT ON, use a lateral join or a row_number window. Three statements per request at any page size.

Follow-up

  • The page size is capped at 200 today. What breaks first if it is raised to 2,000, and is it still this bug?
  • How do you stop the next N+1 from reaching production, given that no individual query is slow and the endpoint's tests pass?

Suggested practice checklist

Built from the rounds and topics Raymond James Financial Services candidates report.

Day 1 — Map the Raymond James Financial Services loop

  • Write out the reported sequence: Digital Video Interview, Live Technical Interviews.
  • For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.

Deliverable: A one-page map of the 2 reported rounds, with the weakest marked.

Day 2 — Work Java

  • Spend the session on Java, which Raymond James Financial Services candidates report being tested on.
  • Write one worked example in Java and time yourself on it.

Deliverable: One timed worked example in Java.

Day 3 — Work API Development / APIs

  • Spend the session on API Development / APIs, which Raymond James Financial Services candidates report being tested on.
  • Write one worked example in API Development / APIs and time yourself on it.

Deliverable: One timed worked example in API Development / APIs.

Day 4 — Work SQL

  • Spend the session on SQL, which Raymond James Financial Services candidates report being tested on.
  • Write one worked example in SQL and time yourself on it.

Deliverable: One timed worked example in SQL.

Day 5 — Answer out loud: Java & Backend Development

  • Answer aloud, timed: Explain the difference between an interface and an abstract class in Java, and when you would use each.
  • Answer aloud, timed: How do you handle exception handling and transaction management in a Spring Boot application?

Deliverable: Spoken answers to 2 reported Java & Backend Development question(s), under time.

Day 6 — Answer out loud: Database Engineering & SQL

  • Answer aloud, timed: Write a SQL query to find the second-highest financial transaction amount for a specific advisor account.
  • Answer aloud, timed: What is database normalization, and when would you intentionally denormalize a database schema?

Deliverable: Spoken answers to 2 reported Database Engineering & SQL question(s), under time.

Day 7 — Answer out loud: Cloud Infrastructure & SDLC

  • Answer aloud, timed: How do you design a deployment pipeline using CI/CD practices for an application hosted on AWS?
  • Answer aloud, timed: What AWS services would you choose to build a serverless, event-driven data processing application?

Deliverable: Spoken answers to 2 reported Cloud Infrastructure & SDLC question(s), under time.

Behavioural preparation

Behavioural rounds judge the decision you made and what it cost.

How do you handle exception handling and transaction management in a Spring Boot application?

Medium · Java & Backend Development

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

How do you handle secret management and security configurations in a cloud environment?

Medium · Cloud Infrastructure & SDLC

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Describe your experience with containerization and managing microservices using Docker or Kubernetes.

Medium · Cloud Infrastructure & SDLC

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Describe a time when you had to work on a project with ambiguous requirements. How did you proceed?

Medium · Behavioral & Culture Fit

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Tell me about a time you had to resolve a technical disagreement with a senior team member or architect.

Medium · Behavioral & Culture Fit

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Walk me through a complex independent project you worked on from conception to deployment.

Medium · Behavioral & Culture Fit

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Why do you want to work in the financial services industry, and specifically at Raymond James Financial Servic

Medium · Behavioral & Culture Fit

Why do you want to work in the financial services industry, and specifically at Raymond James Financial Services?

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

How do you prioritize your tasks when managing multiple tight deadlines?

Medium · Behavioral & Culture Fit

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?