Barclays Quantitative Analyst Interview Guide

The short answer: Barclays calls its quant group Quantitative Analytics (QA), split into Markets QA, Risk QA and the eTrading Statistical Modelling and Development (SMAD) team, and hires students through Quantitative Finance programs. No US Quantitative Analytics posting was open in October 2026, and the open New York quant roles are Strats roles that lean toward quant developer work. Barclays publishes only its general process: online assessments or a phone interview, then an assessment centre or a final interview. Candidate guides for quant analyst roles add a recorded video, a technical interview on probability, statistics and options pricing, and a US Superday of about four interviews. Last reviewed October 2026.

Barclays quantitative analyst interview: quick answers

The Barclays quantitative analyst role

What Barclays quantitative analysts work on, the skills its job postings ask for, and what a week can look like. Barclays posts the role as Quantitative Analytics (Markets QA, Risk QA and SMAD), with campus programs named Quantitative Finance and current New York postings titled Strats.

Barclays quantitative analyst levels and pay

Your level sets the bar you are interviewed against and the pay band of the offer.

Barclays uses corporate titles. Campus quants join Analyst or Associate programs, and the open New York postings are titled AVP and VP. Barclays does not publish a QA-specific ladder.

Pay in Barclays's US job postings

No US Quantitative Analytics posting was open in October 2026, so these are the two open New York Strats postings. Both state base salary only and say other compensation may be available, without naming a bonus.

Both rows are Strats roles in Cross Markets that lean toward quant developer work. No US QA campus pay was readable, because the New York QA graduate posting had closed. Ranges seen October 29, 2026.

Barclays quantitative analyst interview process

The application, assessment and final-round steps follow Barclays' general early careers and experienced-hire pages, which are not specific to QA. The recorded video, the technical interview and the content of the US Superday come from candidate guides.

Based on Barclays's own pages and candidate reports.

Barclays does not publish a timeline or how offers are decided. Candidate guides disagree on structure: one has a phone screen and then a roughly four-hour US Superday, another lists an online test, a video interview, a technical phone screen and a half-day Superday of four or five interviews. Last reviewed October 2026.

What is different at Barclays

• Barclays names the function Quantitative Analytics and splits it three ways. Markets QA builds front-office pricing models, valuation adjustments and market and counterparty credit risk models. Risk QA builds credit, impairment, capital, stress testing, climate and operational risk models. SMAD in eTrading builds the algorithms behind automated pricing, market making and execution.
• Campus hiring runs through the Quantitative Finance Associate Summer Internship and Graduate Programmes, which cover Risk QA, Markets QA and eTrading. Where a location hires into several areas, Barclays aligns you to one core area, such as Risk or Markets, during the assessment process. The campus page says Risk QA and Markets QA have a US presence.
• No US Quantitative Analytics posting was open in October 2026. The open New York quant roles are Markets Strats (AVP) and Equities Derivatives Strat (VP) in Cross Markets. They ask for advanced Python with Java and KDB to build back-testing infrastructure and a flow research platform, which leans toward quant developer work.
• Several program facts on this page come from the 2027 London QA Associate Graduate Programme, which requires a master's or higher and opens with several weeks of training before a desk placement. Barclays did not have a readable US QA program posting, so check US details with your recruiter.
• Barclays bans AI tools in interviews. It says "third-party AI tools are not permitted during your Barclays interview," including transcription bots and meeting assistants, and that "Any use will result in your interview being stopped and your application withdrawn and may also impact your eligibility to apply for future roles at Barclays."
• Postings say candidates may be assessed on critical skills beyond the technical ones: risk and controls, change and transformation, business acumen, and digital and technology.

Barclays quantitative analyst interview questions

Questions from our bank, then practice prompts we wrote for this guide around Barclays's work.

1import math
2
3def binomial_price(spot, strike, rate, vol, years, steps, kind='call', american=False):
4    """Return the option price on a CRR binomial tree."""
5    pass

1import math
2
3def binomial_price(spot, strike, rate, vol, years, steps, kind='call', american=False):
4    if kind not in ('call', 'put'):
5        raise ValueError('kind must be call or put')
6    if steps < 1 or spot <= 0 or strike <= 0 or vol <= 0 or years <= 0:
7        raise ValueError('inputs must be positive and steps at least 1')
8    dt = years / steps
9    u = math.exp(vol * math.sqrt(dt))
10    d = 1 / u
11    disc = math.exp(-rate * dt)
12    p = (math.exp(rate * dt) - d) / (u - d)
13    if not 0 < p < 1:
14        raise ValueError('no-arbitrage condition fails; use more steps')
15    sign = 1 if kind == 'call' else -1
16
17    def payoff(s):
18        return max(sign * (s - strike), 0.0)
19
20    values = [payoff(spot * u ** j * d ** (steps - j)) for j in range(steps + 1)]
21    for i in range(steps - 1, -1, -1):
22        values = [disc * (p * values[j + 1] + (1 - p) * values[j]) for j in range(i + 1)]
23        if american:
24            values = [max(v, payoff(spot * u ** j * d ** (i - j))) for j, v in enumerate(values)]
25    return values[0]
26
27# Complexity: O(steps^2) time, O(steps) space.

How to prepare

A plan for the Barclays loop, most important first:

1. Decide which QA area you want, Markets, Risk or eTrading, since Barclays aligns campus candidates to one, and match your prep to it.
2. Review Black-Scholes, Greeks, put-call parity and valuation adjustments for Markets QA, or PD, LGD, impairment and stress testing for Risk QA.
3. Drill probability, Bayes, PCA and time series questions out loud, which candidate guides name for the technical rounds.
4. Practice timed coding in Python or C++; for the New York Strats roles, add Python and Java development and data work.
5. Prepare motivation and past-experience examples tied to Barclays' Values for the assessment centre and leadership interview.
6. Plan to work without any AI or transcription tools, which Barclays bans in interviews.

Practice path

Courses that cover the rounds above:

• Financial Mathematics
• Probability for Quant Interviews
• Applied Statistics
• Time Series Forecasting
• Advanced Statistics