AlphaGrep interview process (2026)
Round-by-round breakdown of the AlphaGrep software engineering interview across 3 levels and 15 rounds: what each round covers, what interviewers evaluate, sample questions, and preparation tips.
Software Developer — C++ Low Latency (New Grad / Campus)
Difficulty: Hard · Timeline: ~2-4 weeks · Recommended prep: 8-12 weeks · Cooldown: ~6 months
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Round 0: Online Assessment (HackerRank, C++ only)
Assessment · ~60-90 min · difficulty 3/5 · elimination round
Focus: DSA (medium), C++ language MCQs, probability/statistics MCQs
HackerRank test with 3-5 coding problems (easy-medium to medium; standard variations, not novel puzzles) plus ~15-20 MCQs on C++ language constructs and basic probability/statistics. Coding must be done in C++ only — no other language is allowed. Cutoffs are steep: campus reports mention only a handful of shortlists per college, and average candidates solve 2-3 of 5 problems while shortlisted ones solve 4+.
What they evaluate: Raw problem-solving speed in C++, correctness across all test cases, and comfort with C++ syntax and probability basics under time pressure.
Sample question: Trade blotter PnL — You receive N executed trades for one symbol, each line 'BUY|SELL qty price' in time order (long-only: sells never exceed open quantity). Print the final OpenPosition (net quantity), RealizedPnL matching sells against buys FIFO, and OpenValue = open quantity times last traded price. This is a real AlphaGrep round-2 prompt (OpenPosition/NetProfit/Value from buy-sell transactions) that also appears as an OA-style exercise.
Tips: Practice timed sets on LeetCode and CSES in C++ only — if you normally code in Python/Java, switch well before the test. Brush up C++ MCQ staples: sizeof, virtual dispatch, references vs pointers, const-correctness.
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Round 1: Technical Round 1 — DSA + C++ Core
Onsite · ~45-60 min · difficulty 4/5 · elimination round
Focus: Heaps, maps, DP, streaming problems; C++ internals: virtual classes, shared_ptr, sizeof, memory layout
Video round (campus loops are often 2-3 back-to-back rounds in one morning). You solve 1-2 DSA problems — frequently writing code on paper or a plain shared doc rather than an IDE — and field rapid-fire C++ questions: virtual classes and vtables, shared_ptr/unique_ptr semantics, sizeof of classes with virtual functions, object memory layout. Interviewers push refactors: expect 'now modularize this' and naming/style nitpicks.
What they evaluate: Clean working C++ without IDE crutches, complexity analysis, and whether your C++ knowledge goes below the syntax surface.
Sample question: Streaming median — Prices arrive one per line from a market-data feed. After each new price, print the median of all prices seen so far (one decimal place). Target O(log n) per update. Follow-up: how would your structure change if you also needed to delete stale prices older than a time window?
Tips: Rehearse writing compilable C++ on paper. Know shared_ptr control blocks, virtual dispatch cost, and why sizeof grows with a vptr — these exact topics recur across reports.
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Round 2: Technical Round 2 — OS, Networks & Architecture
Onsite · ~45-60 min · difficulty 4/5
Focus: Memory management, paging, TLB, cache hierarchy, TCP vs UDP, multicast, how OS concepts map to C++ constructs
Deep round on operating systems, computer networks and computer architecture — the classic AlphaGrep filter. Emphasis is on memory management (paging, page faults, TLB, stack vs heap, allocators) and how each maps to concrete C++ constructs, plus networking (TCP vs UDP trade-offs, why exchanges use UDP multicast for market data) and cache-friendly data layout. Interviewers connect the three subjects rather than quizzing them in isolation.
What they evaluate: Whether you understand what the machine actually does when your C++ runs — allocation, cache misses, syscalls, packets — not just textbook definitions.
Sample question: Walk through everything that happens, memory-wise, when a C++ program calls new for a 1 MB buffer and then reads it sequentially: allocator behavior, brk/mmap, page faults, TLB fills, and cache-line effects. Then: why does an HFT feed handler prefer UDP multicast over TCP, and what does the application have to handle itself as a result (loss, ordering, gap recovery)?
Tips: Revisit OSTEP chapters on virtual memory and a networking refresher on UDP/multicast. Practice explaining new/malloc/mmap and cache lines out loud — the round rewards connected explanations over buzzwords.
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Round 3: Order Book Design Round
System_design · ~60 min · difficulty 5/5
Focus: Data-structure design, order book (bids/asks), iterative requirement changes, complexity trade-offs
Signature AlphaGrep round: design an efficient data structure for stock ask/bid transactions — effectively an abstract limit order book — then extend it into a dashboard over the same data. The interviewer keeps mutating requirements (add cancels, best-quote queries, per-trader views) and expects you to restructure and re-derive complexities each time. This is DS-level design, not distributed-systems HLD; no capacity-estimation theatre.
What they evaluate: Choosing the right containers (ordered maps, heaps, hash maps, intrusive lists), adapting under changing requirements, and precise big-O reasoning for every operation.
Sample question: Design an order book supporting: add limit order (side, price, qty), cancel by order id, best bid/ask query, and total volume at a price level — each in O(log n) or better. Extend it to a dashboard that streams the top 5 levels per side after every event. What changes if 90% of events are cancels near the touch?
Tips: Implement a toy order book (map of price levels + hash map id lookup) before the interview; it is the single highest-leverage prep for this loop. Narrate trade-offs as requirements change instead of defending your first design.
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Round 4: HR / Fit Chat
Behavioral · ~30 min · difficulty 1/5
Focus: Motivation for HFT, projects, relocation (Mumbai/Bangalore), comp discussion
Short closing conversation on why HFT and why AlphaGrep, your projects, and logistics — teams sit in Mumbai and Bangalore. Reports describe interviewers as friendly, but the round still calibrates long-term interest in trading infrastructure over brand-name chasing.
What they evaluate: Genuine interest in low-latency/trading work, communication, and location/compensation alignment.
Tips: Have a crisp answer for why trading infra instead of a product company; a small latency- or market-data-related side project is a strong signal.
Quantitative Researcher (Entry / Campus)
Difficulty: Hard · Timeline: ~2-4 weeks · Recommended prep: 8-12 weeks · Cooldown: ~6-12 months
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Round 0: Online Assessment — Coding + Probability (C++)
Assessment · ~90 min · difficulty 3/5 · elimination round
Focus: Binary search, DP, trees, competitive programming, basic probability/statistics
Screening test of ~4-5 competitive-programming problems on binary search, dynamic programming and trees, mixed with basic probability concepts; C++ is the expected (sometimes only) language. The bar scales by background — campus reports note non-CS candidates needed all questions solved to be shortlisted while CS candidates needed 3+.
What they evaluate: CP-level algorithmic speed and accuracy, plus enough probability fluency to handle the math-flavored items.
Sample question: Two-trade max profit (DP) — Given N daily prices of a stock, compute the maximum total profit using at most two non-overlapping buy-sell transactions (you must sell before buying again). O(N) time, O(1) extra space. Input: N then N prices; output the max profit.
Tips: Grind CSES + LeetCode DP/binary-search sets in C++; keep a one-page probability formula sheet (linearity of expectation, conditional probability, common distributions) fresh.
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Round 1: Technical Round 1 — Stats, Resume & Light DSA
Onsite · ~45-60 min · difficulty 3/5
Focus: Mean vs median, conditional probability, basic puzzles, guesstimates, Sharpe ratio, resume projects
Opens with your resume projects, then moves through statistics fundamentals: mean vs median behavior, a conditional-probability problem, a couple of warm-up puzzles, a guesstimate, and finance-adjacent concepts like the Sharpe ratio. One light coding/DSA question can appear. Interviewers are described as frank and comfortable to talk to.
What they evaluate: Statistical intuition, structured thinking on guesstimates, honest depth on your own projects, and whether basic finance vocabulary fazes you.
Sample question: You roll two fair dice and are told the sum is 8. What is the probability at least one die shows a 6? Follow-ups: how do mean and median of a return series respond to one extreme outlier, and what is the Sharpe ratio actually measuring?
Tips: Know every line of your resume quantitatively. Skim a primer on Sharpe/volatility; finance depth is not required but zero vocabulary is a bad look.
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Round 2: Probability & Puzzles Round
Onsite · ~60 min · difficulty 5/5 · elimination round
Focus: Hard probability, expectation, convergence/math analysis, strategy puzzles (Brainstellar-level)
The make-or-break quant round: tough probability and mathematics questions — campus reports cite problems like the convergence of the infinite power tower x^x^x^... and multi-step strategy puzzles — plus possibly one coding problem. Difficulty sits at Brainstellar hard / 'Fifty Challenging Problems in Probability' level, and interviewers care about your reasoning path more than the final number.
What they evaluate: Rigorous probabilistic reasoning under pressure, willingness to explore, and recovering from wrong first attempts with hints.
Sample question: For which real values of x does the infinite power tower x^x^x^... converge, and what does it converge to at the boundary? Then a strategy puzzle: 100 opaque boxes, one contains a prize; each day you open one box and are told 'higher or lower'-style feedback — design a strategy minimizing expected days.
Tips: Work through Brainstellar (easy to hard) and 'Fifty Challenging Problems in Probability' cover to cover — multiple AlphaGrep hires credit exactly these two. Always state your approach before computing.
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Round 3: Market Making Simulation
Other · ~45-60 min · difficulty 4/5
Focus: Market-making games, bid-ask quoting, expected value, inventory risk, quick mental math
Final technical round centered on market making: an interactive market-simulation game where you quote two-way prices on uncertain quantities (dice sums, card totals) against the interviewer, adjusting for new information and inventory. Tests whether the probability toolkit survives contact with an adversarial counterparty.
What they evaluate: EV-based quoting, bid-ask spread logic, updating on information, inventory/risk awareness, and calm mental arithmetic.
Sample question: Make a market on the sum of two dice: quote a bid and an ask. The interviewer may trade against you, then reveals one die is a 6 — requote. Explain how your spread reflects variance and how your quotes shift as your inventory grows long.
Tips: Play the dice/card market-making game with a friend beforehand. Anchor quotes on conditional expectation, widen with variance, and skew against your inventory — say this logic out loud.
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Round 4: HR / Team Fit
Behavioral · ~30 min · difficulty 1/5
Focus: Motivation for quant research, team placement (Mumbai/Bangalore), expectations
Closing chat on motivation for quant research vs software tracks, team placement across Mumbai and Bangalore desks, and logistics. Finance knowledge gaps are fine — reports confirm it can be learned on the desk — but curiosity about markets must be evident.
What they evaluate: Long-term interest in markets and research temperament: comfort with ambiguity and iterative failure.
Tips: Bring one market observation you find genuinely interesting (an anomaly, a spread, a volatility pattern) — it separates you from candidates who only prepped puzzles.
Senior C++ Developer — Low Latency (Experienced, 2-7 YOE)
Difficulty: Hard · Timeline: ~4-6 weeks · Recommended prep: 6-10 weeks · Cooldown: ~6-12 months
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Round 0: Recruiter / Hiring Manager Screen
Phone · ~30 min · difficulty 1/5 · elimination round
Focus: Current work, low-latency exposure, C++ depth self-assessment, notice period, Mumbai/Bangalore fit
Call walking through your current systems work, real latency numbers you have owned, and why HFT. Glassdoor pegs the overall pipeline at roughly four weeks; lateral loops are then scheduled as 2-3 technical rounds, often compressed into one or two days.
What they evaluate: Whether your experience is genuinely systems/C++ (not framework glue), seniority calibration, and logistics.
Tips: Quantify latency wins from your past work (micro/milliseconds, throughput). 'I profiled and removed X us from Y path' is the sentence that gets you scheduled.
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Round 1: Coding Round — DSA in C++
Onsite · ~60 min · difficulty 4/5 · elimination round
Focus: Ordered maps, hash maps, heaps, string/stream processing; exchange-flavored problems
Live C++ coding on a shared editor. Problems are medium-hard and exchange-flavored — order/trade streams, position tracking, interval and top-k queries — with heavy follow-ups on refactoring, modularity and edge cases. Multiple reports (including a negative one) confirm interviewers push repeated restructuring of working code.
What they evaluate: Idiomatic modern C++ (containers, iterators, RAII), correct complexity analysis, and grace under nitpicking refactor requests.
Sample question: Top-of-book tracker — Process N operations on a limit order book: 'A id side price qty' adds an order (side B or S), 'C id' cancels it. After every operation print best bid as priceXqty and best ask as priceXqty (or - if empty). Aggregate quantity per price level; cancels must be O(log n).
Tips: Rehearse the order-book family until it is muscle memory. Keep functions small from the first draft — the refactor nitpicks are part of the evaluation, not noise.
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Round 2: C++ Internals + OS Deep Dive
Onsite · ~60 min · difficulty 5/5
Focus: Move semantics, vtables, smart-pointer internals, memory model/atomics, allocators, cache lines, false sharing, kernel bypass
Senior-bar systems round: virtual dispatch cost and vtable layout, shared_ptr control blocks and their atomic overhead, move semantics and copy elision, std::atomic and memory orderings, custom allocators and arena patterns, cache-line alignment and false sharing, plus OS territory — huge pages, NUMA, thread pinning, and why HFT shops bypass the kernel network stack. Questions chain: each answer spawns a 'why' one level deeper.
What they evaluate: Whether you can reason to the instruction/cache-line level, honestly bound your knowledge, and connect language features to measured latency costs.
Sample question: A hot path calls a virtual function on a shared_ptr member in a tight loop. Enumerate every source of latency (atomic refcount, vptr load, indirect call, i-cache and branch predictor effects), then redesign: CRTP or variant for dispatch, raw pointer in the loop, data laid out per cache line. When would std::memory_order_relaxed be safe for a sequence counter shared with one reader thread?
Tips: Re-read effective modern C++ items on move/forwarding and the atomics chapter of a concurrency text; be ready to state real numbers (L1 ~1 ns, main memory ~100 ns, syscall ~1 us).
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Round 3: Low-Latency System Design
System_design · ~60-75 min · difficulty 5/5
Focus: Feed handler / order gateway design, lock-free queues, threading model, gap recovery, measurement
Design a component of a trading system end to end — typically a market-data feed handler (UDP multicast in, normalized book out) or an order gateway (strategy to exchange with risk checks). Expected vocabulary: single-writer lock-free ring buffers, busy-spin vs epoll trade-offs, thread-per-core pinning, packet gap detection and recovery via snapshot channel, and how you would measure tail latency honestly. Requirements shift mid-round, as in the campus order-book loop but at production scope.
What they evaluate: Latency-first architectural instincts, correct concurrency primitives, failure handling (gaps, exchange disconnects), and measurement discipline.
Sample question: Design a feed handler for an exchange multicast feed: normalize increments into a limit order book and publish top-of-book to 10 strategy processes with p99 wire-to-strategy latency under 5 microseconds. Cover socket strategy, threading and core pinning, book data structures, seq-gap recovery via the snapshot feed, and slow-consumer handling on your outbound queue.
Tips: Structure the answer as data path first, then failure paths, then measurement. Naming a concrete tool chain (kernel bypass NIC, rdtsc timestamps, HDR histograms) lands well; hand-waving 'use Kafka' does not.
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Round 4: Hiring Manager / Culture Round
Behavioral · ~45 min · difficulty 2/5
Focus: Ownership stories, production incidents, team collaboration, compensation, notice period
Conversation with the hiring manager (senior loops can include a founder or desk head) on ownership of production trading-adjacent systems, incident stories, working style in small high-trust teams, and offer mechanics. AlphaGrep teams are lean; they probe whether you can operate without big-company scaffolding across Mumbai and Bangalore offices.
What they evaluate: End-to-end ownership, blameless incident handling, low ego, and realistic compensation/notice alignment.
Tips: Prepare two incident stories with your specific actions and the prevention that followed. Ask sharp questions about the tech stack and deployment cadence — curiosity is assessed here too.
Other companies' interview processes
Worked sample solutions (code, design diagrams, and STAR answers) for every round are available in the FAANGPlus app: open interview processes.